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1

Karam, Adel Abed. "Controlling of jerk chaotic system via linear feedback control strategies." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 370–78. https://doi.org/10.11591/ijeecs.v20.i1.pp370-378.

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In this paper, the strategies of linear feedback control for jerk system is considered. These strategies consist of four strategies (ordinary feedback control, dislocated feedback control, speed feedback control, and enhancing feedback control). We propose to combine between these strategies and obtained a better result from this combine. Numerical solution achieved the same results.
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2

Adel Abed, Karam. "Controlling of jerk chaotic system via linear feedback control strategies." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 370. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp370-378.

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In this paper, the strategies of linear feedback control for jerk system is considered. These strategies consist of four strategies (ordinary feedback control, dislocated feedback control, speed feedback control, and enhancing feedback control). We propose to combine between these strategies and obtained a better result from this combine. Numerical solution achieved the same results.
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3

Adeleke, Adeniyi Kehinde, Thompson Odion Igunma, and Zamathula Sikhakhane Nwokediegwu. "Modeling Advanced Numerical Control Systems to Enhance Precision in Next-Generation Coordinate Measuring Machine." International Journal of Multidisciplinary Research and Growth Evaluation 2, no. 1 (2021): 638–49. https://doi.org/10.54660/.ijmrge.2021.2.1.638-649.

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The evolution of coordinate measuring machines (CMMs) has significantly improved precision in dimensional metrology, driven by the need for higher accuracy in manufacturing and quality assurance. Advanced numerical control (NC) systems play a pivotal role in optimizing CMM performance by enhancing motion control, reducing measurement uncertainty, and improving data acquisition speed. This research focuses on modeling advanced NC systems to enhance precision in next-generation CMMs by integrating artificial intelligence (AI)-driven control algorithms, real-time error compensation techniques, and adaptive feedback mechanisms. A hybrid modeling approach is proposed, combining physics-based dynamic modeling with AI-based predictive control to achieve sub-micron accuracy. The study explores the integration of real-time kinematic error compensation, leveraging machine learning algorithms to predict and correct deviations caused by thermal expansion, mechanical vibrations, and backlash effects. The model also incorporates sensor fusion techniques to improve the precision of spatial positioning, utilizing high-resolution encoders, laser interferometry, and inertial measurement units. Finite element analysis (FEA) is used to simulate the mechanical behavior of CMM structures under various loading conditions, ensuring optimal rigidity and stability. Additionally, a robust closed-loop control strategy employing proportional-integral-derivative (PID) controllers and fuzzy logic is implemented to enhance motion smoothness and reduce positional drift. The research further investigates the impact of advanced trajectory planning algorithms, such as jerk-limited motion profiles and model predictive control (MPC), in minimizing dynamic errors and improving measurement repeatability. Experimental validation is conducted on a prototype CMM equipped with an advanced NC system, demonstrating significant improvements in precision and repeatability compared to conventional systems. The results show that integrating AI-driven control, real-time error compensation, and adaptive feedback significantly reduces measurement errors and enhances system robustness. This study provides a comprehensive framework for developing next-generation CMMs with enhanced precision, paving the way for more accurate and reliable metrology solutions in aerospace, automotive, and semiconductor industries. Future work will focus on further optimizing AI-based control algorithms and exploring the potential of digital twin technology for real-time CMM performance monitoring and predictive maintenance.
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Xu, Changjin, Maoxin Liao, Peiluan Li, Lingyun Yao, Qiwen Qin, and Youlin Shang. "Chaos Control for a Fractional-Order Jerk System via Time Delay Feedback Controller and Mixed Controller." Fractal and Fractional 5, no. 4 (2021): 257. http://dx.doi.org/10.3390/fractalfract5040257.

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In this study, we propose a novel fractional-order Jerk system. Experiments show that, under some suitable parameters, the fractional-order Jerk system displays a chaotic phenomenon. In order to suppress the chaotic behavior of the fractional-order Jerk system, we design two control strategies. Firstly, we design an appropriate time delay feedback controller to suppress the chaos of the fractional-order Jerk system. The delay-independent stability and bifurcation conditions are established. Secondly, we design a suitable mixed controller, which includes a time delay feedback controller and a fractional-order PDσ controller, to eliminate the chaos of the fractional-order Jerk system. The sufficient condition ensuring the stability and the creation of Hopf bifurcation for the fractional-order controlled Jerk system is derived. Finally, computer simulations are executed to verify the feasibility of the designed controllers. The derived results of this study are absolutely new and possess potential application value in controlling chaos in physics. Moreover, the research approach also enriches the chaos control theory of fractional-order dynamical system.
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5

Vaidyanathan, Sundarapandian. "A novel 3-D jerk chaotic system with three quadratic nonlinearities and its adaptive control." Archives of Control Sciences 26, no. 1 (2016): 19–47. http://dx.doi.org/10.1515/acsc-2016-0002.

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This paper announces an eight-term novel 3-D jerk chaotic system with three quadratic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described. The novel jerk chaotic system has two equilibrium points, which are saddle-foci and unstable. The Lyapunov exponents of the novel jerk chaotic system are obtained as L1= 0.20572,L2= 0 and L3= −1.20824. Since the sum of the Lyapunov exponents of the jerk chaotic system is negative, we conclude that the chaotic system is dissipative. The Kaplan-Yorke dimension of the novel jerk chaotic system is derived as DKY= 2.17026. Next, an adaptive controller is designed via backstepping control method to globally stabilize the novel jerk chaotic system with unknown parameters. Moreover, an adaptive controller is also designed via backstepping control method to achieve global chaos synchronization of the identical jerk chaotic systems with unknown parameters. The backstepping control method is a recursive procedure that links the choice of a Lyapunov function with the design of a controller and guarantees global asymptotic stability of strict feedback systems. MATLAB simulations have been depicted to illustrate the phase portraits of the novel jerk chaotic system and also the adaptive backstepping control results.
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6

Li, Fang Fang, Jin Bao Ji, Xiao Jun Li, and Na Li. "Application of the Jerk Feedback on the Shaking Table." Applied Mechanics and Materials 580-583 (July 2014): 1521–27. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.1521.

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For the shaking table system, the 90o phase shift frequency of the servo valve system is close to the oil column resonance frequency, the bandwidth under the influence of servo valve features was so narrow that it cannot meet requirements. Multi-variable control is presented in this paper by introducing the jerk feedback on the basis of the three-variable control. The theoretical derivation and the system simulation show that: the jerk feedback can reduce the oil column resonance frequency, and decrease the influence of the system performance caused by the servo valve characteristics.
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7

Ali, Ali Abdulkareem, Fatma Ben Salem, and Jamal A. K. Mohammed. "Enhancing Elevator Ride Quality through Vector Control Techniques and S-Curve Profiles." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18785–91. https://doi.org/10.48084/etasr.9228.

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This study examines motor drive techniques, including Field-Oriented Control (FOC), sensorless FOC, and Direct Torque Control (DTC), to improve elevator ride quality by reducing jerk-sudden changes in acceleration that cause discomfort. A 200 cm tall prototype elevator system was developed, using S-curve velocity profiles alongside the considered control strategies. The system includes a TMS320F28379D DSP-controlled induction motor, sensors, and an encoder to assess performance. Results show that FOC with S-curve profiles reduces jerk by 72–73%, significantly improving comfort compared to the standard trapezoidal profile. Sensorless FOC reduces jerk by 68–71%, providing a cost-effective option, though it faces challenges during downward motion under load. DTC, reduces jerk by 65–68% and results in less smooth travel, especially during downward movement. In comparison, the trapezoidal velocity profile produced higher jerk levels and less ride comfort. This study emphasizes the critical role of control technique selection in enhancing elevator comfort and efficiency.
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8

Vaidyanathan, Sundarapandian. "A new 3-D jerk chaotic system with two cubic nonlinearities and its adaptive backstepping control." Archives of Control Sciences 27, no. 3 (2017): 409–39. http://dx.doi.org/10.1515/acsc-2017-0026.

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AbstractThis paper presents a new seven-term 3-D jerk chaotic system with two cubic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described. The novel jerk chaotic system has a unique equilibrium at the origin, which is a saddle-focus and unstable. The Lyapunov exponents of the novel jerk chaotic system are obtained as L1= 0:2974, L2= 0 and L3= −3:8974. Since the sum of the Lyapunov exponents of the jerk chaotic system is negative, we conclude that the chaotic system is dissipative. The Kaplan-Yorke dimension of the new jerk chaotic system is found as DKY= 2:0763. Next, an adaptive backstepping controller is designed to globally stabilize the new jerk chaotic system with unknown parameters. Moreover, an adaptive backstepping controller is also designed to achieve global chaos synchronization of the identical jerk chaotic systems with unknown parameters. The backstepping control method is a recursive procedure that links the choice of a Lyapunov function with the design of a controller and guarantees global asymptotic stability of strict feedback systems. MATLAB simulations are shown to illustrate all the main results derived in this work.
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9

Tian, Huaigu, Zhen Wang, Peijun Zhang, Mingshu Chen, and Yang Wang. "Dynamic Analysis and Robust Control of a Chaotic System with Hidden Attractor." Complexity 2021 (January 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/8865522.

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In this paper, a 3D jerk chaotic system with hidden attractor was explored, and the dissipativity, equilibrium, and stability of this system were investigated. The attractor types, Lyapunov exponents, and Poincare section of the system under different parameters were analyzed. Additionally, a circuit was carried out, and a good similarity between the circuit experimental results and the theoretical analysis testifies the feasibility and practicality of the original system. Furthermore, a robust feedback controller was designed based on the finite-time stability theory, which guarantees the synchronization of 3D jerk master-slave system in finite time and asymptotically converges to the origin. Finally, we also give verification for the discussion in this paper by numerical simulation.
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10

Stoychitch, Mihaylo Y. "Design of a Digital Positioning System with Sinusoidal Change of the Jerk." Applied Mechanics and Materials 474 (January 2014): 255–60. http://dx.doi.org/10.4028/www.scientific.net/amm.474.255.

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In this paper we consider design of a digital electromechanical positioning system that ensures controlled change of the jerk. A system that is formed from a load and an actuating device is used as an object. For the proposed sinusoidal change of the jerk, the appropriate changes of the acceleration, velocity and displacement were found.. The control algorithm which ensures the motion of the object with sinusoidal change of the jerk so that the requirements which are related to the maximum values of the acceleration, velocity and displacement are satisfied, is also proposed. The digital feedforward and feedback controllers that are realized this algorithm are designed. Furthermore the simulation of that system is performed, which is confirmed the proposed theory.
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11

Yi, Jie, Li Min An, Duo Hui Li, Jia Yu Tian, Xue Hang Wang, and Chun Xia Liu. "Based on the Jerk System Phase Space Division of the Study of the Method." Advanced Materials Research 981 (July 2014): 463–68. http://dx.doi.org/10.4028/www.scientific.net/amr.981.463.

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Existing vortices volumes of chaotic signal control and create just increase the limitations of system complexity, and put forward the phase space vortex roll signal control alone method. The first use of Simulink Jerk system established the visualization model, Jerk system to delay feedback control, get the phase space of track not at the intersection of vortices roll chaotic attractor, then puts forward two methods-tracking method and the balance point estimate method is to make sure that each vortex roll attractor parameter range of chaos, realized the phase space of vortices volume control signal path, finally, to phase space area division, given the division standard and regional boundary, mathematical model of that work for more into the study of the method of chaotic modulation system to provide a idea and may.
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12

Adelaja, A. D., O. S. Onma, B. A. Idowu, S. T. Opeifa, and C. O. Ogabi. "Jerk Chaotic System: Analysis, Circuit Simulation, Control and Synchronization with Application to Secure Communication." Nigerian Journal of Theoretical and Environmental Physics 2, no. 2 (2024): 56–69. http://dx.doi.org/10.62292/njtep.v2i2.2024.39.

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Dynamical behaviors of 3D Jerk system were examined in terms of equilibrium, stability, dissipative, and phase space attractor in this study. The system’s practical applications were demonstrated through circuit realization and synchronization scheme via active backstepping control with its effectiveness demonstrated in secure communication. The viability of the theoretical model of 3D Jerk system was confirmed using electronic circuit workbench designed in MultiSIM enviroment. A nonlinear feedback controller was designed using the recursive backstepping technique to control and track a desire function. For secure communication application, active backstepping method was adopted to synchronize two identical chaotic systems evolving from different initial conditions. It was demonstrated that when the controller was activated, the systems synchronize successfully. The results of the active backstepping designed controllers were numerically applied in the area of secure communication, with the variable of the drive being encrypted information transmitted through a coupling channel. Using an additive encryption masking scheme, the encrypted signal was a superposition of sinusoidal information specified by period function and chaotic carrier generated from a variable of the Jerk system. The transmitted information signal was successfully retrieved from the chaotic response signal using an inverse function decryption algorithm, thereby confirming the effectiveness and robustness of the designed controller.
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13

Ali, Ali Abdulkareem, Fatma Ben Salem, and Jamal A. K. Mohammed. "Design of an Electric Elevator Drive with High Riding Quality under Jerk Control." Engineering, Technology & Applied Science Research 14, no. 5 (2024): 16438–43. http://dx.doi.org/10.48084/etasr.8202.

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Sudden movements during the start and stop of electric elevators, known as jerks, can cause discomfort for passengers and negatively affect the performance and lifespan of their mechanical and electrical subsystems. Modern drives cannot directly regulate jerk, necessitating the development of methods to mitigate its effects. This study focuses on designing optimal S-curve motion profiles to reduce jerk in elevator systems driven by an induction motor. The motor operates according to these profiles when integrated with a TMS320F28335 Digital Signal Processor (DSP) under Direct Torque Control (DTC). Precise motor control is achieved using an incremental rotary encoder, current sensors, and voltage sensors, while an accelerometer sensor connected to an Arduino Nano measures the jerk. This comprehensive approach ensures precise regulation, smooth performance, and minimal sudden changes in acceleration, highlighting the effectiveness of DTC combined with S-curve profiles in enhancing elevator system performance. The results demonstrate that integrating S-curve profiles into the DTC algorithm significantly improves ride comfort by mitigating jerk during acceleration and deceleration phases by up to 57.2% compared to systems without S-curve integration.
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14

Wang, Zhen, Wei Sun, Zhouchao Wei, and Shanwen Zhang. "Dynamics and delayed feedback control for a 3D jerk system with hidden attractor." Nonlinear Dynamics 82, no. 1-2 (2015): 577–88. http://dx.doi.org/10.1007/s11071-015-2177-z.

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15

Guo, Lie, Pingshu Ge, Dachuan Sun, and Yanfu Qiao. "Adaptive Cruise Control Based on Model Predictive Control with Constraints Softening." Applied Sciences 10, no. 5 (2020): 1635. http://dx.doi.org/10.3390/app10051635.

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In this paper, with the aim of meeting the requirements of car following, safety, comfort, and economy for adaptive cruise control (ACC) system, an ACC algorithm based on model predictive control (MPC) using constraints softening is proposed. A higher-order kinematics model is established based on the mutual longitudinal kinematics between the host vehicle and the preceding vehicle that considers the changing characteristics of the inter-distance, relative velocity, acceleration, and jerk of the host vehicle. Performance indexes are adopted to represent the multi-objective demands and constraints of the ACC system. To avoid the solution becoming unfeasible because of the overlarge feedback correction, the constraint softening method was introduced to improve robustness. Finally, the proposed ACC method is verified in typical car-following scenarios. Through comparisons and case studies, the proposed method can improve the robustness and control precision of the ACC system, while satisfying the demands of safety, comfort, and economy.
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16

Kengne, J., A. Nguomkam Negou, and Z. T. Njitacke. "Antimonotonicity, Chaos and Multiple Attractors in a Novel Autonomous Jerk Circuit." International Journal of Bifurcation and Chaos 27, no. 07 (2017): 1750100. http://dx.doi.org/10.1142/s0218127417501000.

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We perform a systematic analysis of a system consisting of a novel jerk circuit obtained by replacing the single semiconductor diode of the original jerk circuit described in [Sprott, 2011a] with a pair of semiconductor diodes connected in antiparallel. The model is described by a continuous time three-dimensional autonomous system with hyperbolic sine nonlinearity, and may be viewed as a control system with nonlinear velocity feedback. The stability of the (unique) fixed point, the local bifurcations, and the discrete symmetries of the model equations are discussed. The complex behavior of the system is categorized in terms of its parameters by using bifurcation diagrams, Lyapunov exponents, time series, Poincaré sections, and basins of attraction. Antimonotonicity, period doubling bifurcation, symmetry restoring crises, chaos, and coexisting bifurcations are reported. More interestingly, one of the key contributions of this work is the finding of various regions in the parameters’ space in which the proposed (“elegant”) jerk circuit experiences the unusual phenomenon of multiple competing attractors (i.e. coexistence of four disconnected periodic and chaotic attractors). The basins of attraction of various coexisting attractors display complexity (i.e. fractal basins boundaries), thus suggesting possible jumps between coexisting attractors in experiment. Results of theoretical analyses are perfectly traced by laboratory experimental measurements. To the best of the authors’ knowledge, the jerk circuit/system introduced in this work represents the simplest electrical circuit (only a quadruple op amplifier chip without any analog multiplier chip) reported to date capable of four disconnected periodic and chaotic attractors for the same parameters setting.
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17

Xu, Chang Jin, and Pei Luan Li. "Chaos Control for a 4D Hyperchaotic System." Applied Mechanics and Materials 418 (September 2013): 84–87. http://dx.doi.org/10.4028/www.scientific.net/amm.418.84.

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In this paper, a four-dimensional (4D) autonomous hyperchaotic system is dealt with. The stability criteria of equilibria of the controlled hyperchaotic chaotic system are established. Using the dislocated feedback control, enhancing feedback control, and nonlinear function feedback control methods, the chaos of the 4D hyperchaotic system can be suppressed to unstable equilibrium. Some numerical simulations revealing the effectiveness of our control strategies are given..
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18

Su, Zheng-Mou, Wei-Zhu Lin, Yung-Chih Lin, and Jui-Pin Hung. "Enhancing Milling Surface Finish: The Role of Servo Parameters and Machining Stability." Engineering, Technology & Applied Science Research 14, no. 5 (2024): 16357–64. http://dx.doi.org/10.48084/etasr.8132.

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Abnormal machining vibrations and inconsistent machining quality are commonly observed in high-speed machining operations and are often attributed to the inappropriate characteristics of servo dynamics and structural resonance caused by feeding motions with higher jerk. An understanding of the manner in which distinct servo system parameters impact machining, can facilitate the refinement of machine tool tuning, thereby enabling the achievement of desired machining outcomes. In practical terms, the servo parameters, including feeding acceleration and jerk, control gains, and feed-forward compensation, can be appropriately determined based on the characteristics of the machine in question, such as the presence of dynamic errors in positioning and contouring paths. This study aims to evaluate the interactive effects between servo parameters and machining parameters to gain insight into their influence on machining quality. In order to achieve this objective, different servo parameters were tuned to meet various machining requirements, and cutting experiments were conducted with consideration of the cutter stability. The results are expected to provide guidance on the control of servo systems and the optimization of machining parameters, ensuring that servo tuning effectively enhances machine tool cutting performance.
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19

Ali, Ali Abdulkareem, Fatma Ben Salem, and Jamal A. K. Mohammed. "Design and implementation of jerk-controlled elevator systems using S-curve motion profiles." International Journal of Power Electronics and Drive Systems (IJPEDS) 16, no. 2 (2025): 780. https://doi.org/10.11591/ijpeds.v16.i2.pp780-793.

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Electric elevators often experience significant jerks that can shorten their lifespan and cause passenger discomfort, especially during acceleration and deceleration. To address this issue, this study presents the development and implementation of S-curve motion profiles for a prototype three-floor rope elevator system. The elevator cabin is driven by a three-phase induction motor using sensorless vector control technology, with a variable frequency drive (VFD) managing the cabin's velocity. The findings indicate that employing S-curve motion profiles reduces jerk by approximately 29.43% when the elevator is ascending without a load and by 48.15% when descending without a load. In the loaded scenario, the elevator experiences a significant reduction in jerk, decreasing by 48.78% during ascent and 52.08% during descent. By smoothing out abrupt acceleration changes, the reduction in jerk leads to a more seamless motion of the elevator car, significantly enhancing passenger comfort. Consequently, this approach improves the efficiency and reliability of elevator operations, providing a versatile platform for future vertical transportation advancements.
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20

Chen, Jeng-Shyong, and Wei-Yao Hsu. "Dynamic and Compliant Characteristics of a Cartesian-Guided Tripod Machine." Journal of Manufacturing Science and Engineering 128, no. 2 (2004): 494–502. http://dx.doi.org/10.1115/1.1954789.

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This paper is focused on the dynamic and compliant characteristics of a three-axis parallel kinematic machine called a Cartesian-guided tripod (CGT), which has a passive leg locking the platform three rotational degrees of freedom. Because no constraint mechanism is perfect with infinite rigidity, a compliance model has been developed to determine the maximum amplitude of the passive-leg parasitic motions using given loads. System compliance, dynamic characteristics, vibration modes, and servo-contouring errors of the CGT driving system have also been evaluated under high-speed machining conditions. The nonlinear dynamic effects, such as inertia and gravity, can be controlled within acceptable accuracy using the high-gain servo-feedback control techniques. The CGT dominant flexible mode occurs on the horizontal platform-leg vibration. The platform-leg flexible mode can produce significant jerk-induced mechanical vibration on the platform when a sudden velocity change is commanded. Look-ahead Cartesian-based path acceleration and deceleration control was found to be an efficient tool to reduce the jerk-induced mechanical vibration, although the CGT was drive controlled at the joint level. It was found that at high acceleration application, such as high-speed mold and die machining, the elastic elongation of the driving leg caused by the high acceleration force became the dominant contouring error sources.
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21

Botezatu, Adrian-Paul, Lavinia-Eugenia Ferariu, and Adrian Burlacu. "Enhancing Visual Feedback Control through Early Fusion Deep Learning." Entropy 25, no. 10 (2023): 1378. http://dx.doi.org/10.3390/e25101378.

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A visual servoing system is a type of control system used in robotics that employs visual feedback to guide the movement of a robot or a camera to achieve a desired task. This problem is addressed using deep models that receive a visual representation of the current and desired scene, to compute the control input. The focus is on early fusion, which consists of using additional information integrated into the neural input array. In this context, we discuss how ready-to-use information can be directly obtained from the current and desired scenes, to facilitate the learning process. Inspired by some of the most effective traditional visual servoing techniques, we introduce early fusion based on image moments and provide an extensive analysis of approaches based on image moments, region-based segmentation, and feature points. These techniques are applied stand-alone or in combination, to allow obtaining maps with different levels of detail. The role of the extra maps is experimentally investigated for scenes with different layouts. The results show that early fusion facilitates a more accurate approximation of the linear and angular camera velocities, in order to control the movement of a 6-degree-of-freedom robot from a current configuration to a desired one. The best results were obtained for the extra maps providing details of low and medium levels.
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22

Sadeghi, Mohammad, Vanessa Rottke, Alireza Abbasimoshaei, and Thorsten A. Kern. "Enhancing Wrist Telerehabilitation: Integrating Haptic Feedback and Remote Evaluation Models." Current Directions in Biomedical Engineering 10, no. 4 (2024): 1–4. https://doi.org/10.1515/cdbme-2024-2001.

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Abstract Stroke patients with hemiparesis often face significant challenges in accessing consistent and effective rehabilitation therapy due to limitations in mobility and the availability of specialized care. To address this, a new telerehabilitation system is introduced for stroke patients with hemiparesis. It consists of two internetconnected robots for remote wrist rehabilitation. A cloudbased website serves as a centralized interface for patients and doctors, allowing remote control of the system during therapy sessions. To enhance the haptic feedback and stability of the system, a torque/velocity control algorithm is implemented. These control algorithms incorporate damping and spring terms from an impedance control algorithm to synchronize and maintain the positions of both end effectors. Additionally, a wrist evaluation model has been introduced to calculate stiffness and damping coefficients, essential for monitoring patient progress and improving treatment efficacy. The wrist model is evaluated using multiple linear regression method. Experimental testing demonstrates the potential of the proposed approach in enhancing telerehabilitation system performance.
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23

Halabi, Osama, Mohammed Al-Sada, Hala Abourajouh, Myesha Hoque, Abdullah Iskandar, and Tatsuo Nakajima. "Enhancing Telexistence Control Through Assistive Manipulation and Haptic Feedback." Applied Sciences 15, no. 3 (2025): 1324. https://doi.org/10.3390/app15031324.

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The COVID-19 pandemic brought telepresence systems into the spotlight, yet manually controlling remote robots often proves ineffective for handling complex manipulation tasks. To tackle this issue, we present a machine learning-based assistive manipulation approach. This method identifies target objects and computes an inverse kinematic solution for grasping them. The system integrates the generated solution with the user’s arm movements across varying inverse kinematic (IK) fusion levels. Given the importance of maintaining a sense of body ownership over the remote robot, we examine how haptic feedback and assistive functions influence ownership perception and task performance. Our findings indicate that incorporating assistance and haptic feedback significantly enhances the control of the robotic arm in telepresence environments, leading to improved precision and shorter task completion times. This research underscores the advantages of assistive manipulation techniques and haptic feedback in advancing telepresence technology.
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24

Younis, Mahasin. "Applying the Method of Enhancing Feedback Control On a 4D Hyperchaotic System." AL-Rafidain Journal of Computer Sciences and Mathematics 13, no. 1 (2020): 13–21. http://dx.doi.org/10.33899/csmj.2020.163499.

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25

Naveen, Y., and Ch Navya Sree. "GestureFlow: Advanced Hand Gesture Control System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44540.

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Our project "GestureFlow: Advanced Hand Gesture Control System" leverages real-time computer vision and deep learning techniques to create a robust, touchless control interface using hand gestures. The system utilizes MediaPipe Hands for efficient hand landmark detection and processes dynamic hand movements and finger configurations to identify a wide range of intuitive gestures such as swipes, pinches, and specific finger patterns. These gestures are mapped to actions like mouse control, clicks, volume adjustment, media playback, screenshot capture, window management, and many more. The system includes smoothed cursor tracking, velocity-based gesture recognition, and responsive command execution to ensure real-time performance. It also offers dynamic visual feedback and adaptive handling of gesture timing to improve precision and usability. Overall, the project presents an accessible, multi-functional human-computer interaction framework aimed at enhancing hands-free control and reducing reliance on traditional input devices in everyday computing environments. Keywords: Hand Gesture Recognition, Human-Computer Interaction, Computer Vision, Deep Learning, MediaPipe, Real-Time Control, Touchless Interface, Gesture Classification, Cursor Navigation, Accessibility, Adaptive Gestures, Visual Feedback.
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Guo, Yan, Yanan Jiang, Zhenghua Qian, and Bin Huang. "Sensitivity-enhancing feedback control–based damage detection in delaminated smart composite plates." International Journal of Distributed Sensor Networks 15, no. 7 (2019): 155014771986222. http://dx.doi.org/10.1177/1550147719862221.

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In this article, we present a sensitivity-enhancing feedback control–based damage detection method for piezoelectric actuator and sensor bonded composite laminates with delamination failures. The present method mainly consists of two parts: delamination modeling and feedback controller design. We first introduce the adopted improved layerwise theory–based mathematical model for delamination modeling with finite element implementation. The obtained second-order governing equations are transformed into the state space model for design of state feedback controller. Proper pole placement is required to enhance the sensitivity of frequency shifts to stiffness change caused by delamination. We investigated different delamination interfaces and longitudinal locations for studying the feasibility and efficiency of the present method. The present results clearly demonstrate that with the applied state feedback controller, the frequency shifts of the closed-loop system are significantly enhanced. The proposed sensitivity-enhancing feedback control can be used as an efficient tool for detecting delamination failures in smart composite structures.
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27

Derets, Oleksandr, Oleksandr Sadovoi, Yulian Miniailo, and Serhiy Derets. "INCREASING THE ACCURACY OF JERK PREDICTION WHEN OPTIMIZING THE SPEED OF THE ELECTRIC DRIVE CONTROL SYSTEM." Collection of scholarly papers of Dniprovsk State Technical University (Technical Sciences) 1, no. (42) (2023): 101–8. http://dx.doi.org/10.31319/2519-2884.42.2023.12.

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The relevance of the work is due to the need to adapt the methods of the theory of optimal control to modern technical capabilities. The complexity of variational methods led to the creation of alternative means of optimization, which includes the N–i switching method. It differs in extreme simplicity, however, the generalization of the mathematical apparatus to an arbitrary order is implemented on the basis of simplifying assumptions, which reduces the effectiveness of the method applied to low-order systems. The purpose of this study is to improve the mathematical apparatus of the N–i switching method by bringing the settings of the controllers closer to the optimal ones on the basis of a refined calculation of the predicted transition trajectory. To achieve this goal, the following tasks were solved in the work: the construction of a fragment of the transition trajectory taking into account the action of the internal feedbacks of the electromechanical system is carried out; for the detailed diagram of the transient, which has the shape of a curvilinear trapezoid, a rectangular diagram equivalent in magnitude of the first integral over time is performed; the average value of the jerk on the interval of constancy of the voltage of the power converter is determined, and on this basis, the modified value of the feedback factor of the relay velocity controller is found; a comparative study of electric drive control systems with basic and modified settings was performed, confirming the effectiveness of the proposed solution. The result of the work is the supplement to the mathematical apparatus of the N–i switched method, focused on the optimization of second-order systems. Its implementation does not require the involvement of large additional resources and provides an improvement in the quality of transient processes. A promising direction for this study is the implementation of the proposed methodology in adaptive algorithms for setting up relay optimal control systems.
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Bundhoo, Vishalini, Edmund Haslam, Benjamin Birch, and Edward J. Park. "A shape memory alloy-based tendon-driven actuation system for biomimetic artificial fingers, part I: design and evaluation." Robotica 27, no. 1 (2009): 131–46. http://dx.doi.org/10.1017/s026357470800458x.

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SUMMARYIn this paper, a new biomimetic tendon-driven actuation system for prosthetic and wearable robotic hand applications is presented. It is based on the combination of compliant tendon cables and one-way shape memory alloy (SMA) wires that form a set of agonist–antagonist artificial muscle pairs for the required flexion/extension or abduction/adduction of the finger joints. The performance of the proposed actuation system is demonstrated using a 4 degree-of-freedom (three active and one passive) artificial finger testbed, also developed based on a biomimetic design approach. A microcontroller-based pulse-width-modulated proportional-derivation (PWM-PD) feedback controller and a minimum jerk trajectory feedforward controller are implemented and tested in anad hocfashion to evaluate the performance of the finger system in emulating natural joint motions. Part II describes the dynamic modeling of the above nonlinear system, and the model-based controller design.
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Saad, Fawzi AL-Azzawi, and M. Aziz Maysoon. "Strategies of linear feedback control and its classification." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 4 (2019): 1931–40. https://doi.org/10.12928/TELKOMNIKA.v17i4.10989.

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This paper is concerned with the control problem for a class of nonlinear dynamical (hyperchaotic) systems based on linear feedback control strategies. Since the obtaining positive feedback coefficients are required for these strategies. From this point of view, the available ordinary/dislocated/enhancing and speed feedback control strategies can be classified into two main aspects: control the dynamical systems or can't be control although it own a positive feedback coefficients. So, we focused on these cases, and suggest a new method to recognize which system can be controller it or not. In this method, we divided the positive feedback coefficient which obtain from these strategies in to four categories according to possibility of suppression and show the reason for each case. Finally, numerical simulations are given to illustrate and verify the results.
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Zhang, Kai. "Enhancing Critical Writing Through AI Feedback: A Randomized Control Study." Behavioral Sciences 15, no. 5 (2025): 600. https://doi.org/10.3390/bs15050600.

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This study investigates the effectiveness of artificial intelligence-generated content (AIGC) systems on undergraduate writing development through a randomized controlled trial with 259 Chinese students. Despite promising applications of AI in educational settings, empirical evidence regarding its comparative effectiveness in writing instruction remains limited. Using a four-week intervention comparing Qwen-powered AI feedback to traditional instructor feedback, we employed difference-in-differences (DiD) analysis and structural equation modeling to examine how technology acceptance factors influence writing outcomes. Results demonstrated significant improvements in the AIGC intervention group compared to controls (β = 0.149, p < 0.001), with particularly strong effects on organization (β = 0.311, p < 0.001) and content development (β = 0.191, p < 0.001). Path analysis revealed that perceived usefulness fully mediated the relationship between perceived ease of use and attitudes toward the system (β = 0.326, p < 0.001), with attitudes strongly predicting behavioral engagement (β = 0.431, p < 0.001). Contrary to traditional technology acceptance models, perceived ease of use showed no direct effect on attitudes, suggesting that students prioritize functional benefits over interface simplicity in educational technology contexts. These findings contribute to an expanded technology acceptance model for educational settings while providing evidence-based guidelines for implementing AI writing assistants in higher education.
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Zhang, Zhan, and Xiangyu Li. "Design of a static sliding mode controller for T-S fuzzy systems based on Quantized information." Journal of Physics: Conference Series 2975, no. 1 (2025): 012012. https://doi.org/10.1088/1742-6596/2975/1/012012.

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Abstract This study introduces a novel sliding mode control method that combines generalized T-S fuzzy systems and quantized feedback to enhance control efficiency and robustness in complex systems. Existing methods often perform poorly in environments with incomplete information and system uncertainties, making them ill-suited to the dynamic characteristics of complex systems. To address this issue, we propose a sliding mode control method that incorporates both static and dynamic quantizers (with adjustable quantization parameters). Our approach employs a sliding mode variable structure controller designed with traditional linear switching surfaces to ensure that the system approaches the desired sliding mode surface, thereby enhancing the asymptotic stability of the closed-loop system. This quantized feedback sliding mode control strategy effectively ensures the stability and robustness of generalized T-S fuzzy systems under conditions of incomplete information and system uncertainties. Simulation results demonstrate that the system exhibits good control performance under experimental conditions. In summary, our research provides an effective improvement, enhancing the adaptability of generalized T-S fuzzy systems in complex real-world environments and laying a solid foundation for future applications and expansions.
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Marwiang, Metta, Mongkhol Prasertsang, and Putcharee Junpeng. "Enhancing Students’ Learning Outcomes in Mathematics through Intelligent Tutoring Systems Based on Real-Time Feedback." Journal of Education and Learning 14, no. 6 (2025): 186. https://doi.org/10.5539/jel.v14n6p186.

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This study examined the effectiveness of an intelligent tutoring system (ITS) driven by real-time feedback in enhancing students’ mathematical learning outcomes, as defined by the Structure of Observed Learning Outcomes. Conducted within the domains of Measurement and Geometry, the study employed a randomized controlled trial involving 120 students from the Mathematics Program for Gifted Students at Khon Kaen University Demonstration School. Of these, 78 were selected through systematic random sampling and assigned to experimental and control groups. The experimental group engaged with the ITS featuring automated, real-time feedback, while the control group used the same system without feedback. Both groups utilized the system through adaptive diagnostic assessments. The diagnostic test demonstrated strong psychometric properties (Rasch model difficulty range = -2.34 to 1.71; Cronbach’s α = 0.81; IRT reliability = 0.89). Statistical analyses—including independent t-tests, repeated measures ANOVA, and relative gain scores—revealed significant learning gains in the experimental group (p < .05). Mean scores increased from 1.90 to 3.54 in the experimental group and from 1.90 to 2.85 in the control group. The experimental group reached an advanced level (M = 84.83%), significantly outperforming the control group (M = 61.54%), with an effect size of 0.73. These findings highlight the potential of ITS with diagnostic feedback to foster deep, structured mathematical understanding and offer valuable insights for personalized digital learning.
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Ke, Shanwen, and Yuren Li. "An Improved Active Damping Method for Enhancing Robustness of LCL-Type, Grid-Tied Inverters under Weak Grid Conditions." Sensors 23, no. 19 (2023): 8203. http://dx.doi.org/10.3390/s23198203.

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The conventional proportional-gain-feedback link can only obtain the smallest effective damping region (EDR) due to the control delay among all the active damping methods regarding the capacitor current feedback. The digitally controlled system tends to be unstable when the system resonant frequency reaches the critical frequency caused by the grid impedance variation. To weaken the adverse effect on the system caused by the control delay, phase-lead feedback links are applied along the feedback path to provide phase compensation. By taking the simplicity and reliability of the feedback links into account, this paper proposes an alternative to an ideal differentiator, which consists of the Tustin discrete form of ‘s’ and a digital low-pass filter. This proposed method has an identical phase frequency characteristic as an ideal differentiator but a better magnitude frequency characteristic, and its EDR can reach [0, fs/3]. The system stability analysis is conducted under different resonant frequencies, and under the condition of a weak grid, the co-design approach of the active damper and digital controller is presented. Finally, the experimental results are shown to verify the proposed method.
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Wu, Yingfeng, Weiwei Zhao, and Jifa Zhang. "Methodology for Large-Scale Camera Positioning to Enable Intelligent Self-Configuration." Sensors 22, no. 15 (2022): 5806. http://dx.doi.org/10.3390/s22155806.

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The development of a self-configuring method for efficiently locating moving targets indoors could enable extraordinary advances in the control of industrial automatic production equipment. Being interactively connected, cameras that constitute a network represent a promising visual system for wireless positioning, with the ultimate goal of replacing or enhancing conventional sensors. Developing a highly efficient algorithm for collaborating cameras in the network is of particular interest. This paper presents an intelligent positioning system, which is capable of integrating visual information, obtained by large quantities of cameras, through self-configuration. The use of the extended Kalman filter predicts the position, velocity, acceleration and jerk (the third derivative of position) in the moving target. As a result, the camera-network-based visual positioning system is capable of locating a moving target with high precision: relative errors for positional parameters are all smaller than 10%; relative errors for linear velocities (vx, vy) are also kept to an acceptable level, i.e., lower than 20%. This presents the outstanding potential of this visual positioning system to assist in the industry of automation, including wireless intelligent control, high-precision indoor positioning, and navigation.
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Suthar, Monika, Udaya Bhasker Manthati, C. R. Arunkumar, Punna Srinivas, Faisal Alsaif, and Ievgen Zaitsev. "Enhancing Electric Vehicle Performance with a Hybrid PI-Sliding Mode Controller for Battery Supercapacitor Integration." International Journal of Energy Research 2024 (April 26, 2024): 1–13. http://dx.doi.org/10.1155/2024/1105301.

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Nowadays, most of the works are based on electric vehicle usage for sustainable transportation using traditional energy storage device, such as battery. Usage of batteries in electric vehicles is having several disadvantages, for example, life span, temperature, and charge estimation. In this paper, a novel control scheme for battery and supercapacitor- (SC-) based hybrid energy storage system (HESS) using hybrid proportional and integral- (PI-) sliding mode control (SMC) for electric vehicle (EV) applications is introduced and implemented. This HESS with hybrid controller proves the usage of batteries in EVs to its fullest potential. The conventional control strategy for HESS follows two-loop voltage and current PI controllers with low-pass filter (LPF) and involves tuning of multiple control parameters with variations of source and load disturbances. Performance of the system is affected by tuning PI controller constants. A slow response time with linear PI controllers is long which is not advisable for starting and sudden jerk conditions of EVs. Moreover, the PI controller performance is affected by the system parameter variations during load changes. And these parameters are dynamic in nature due to nonideal conditions. In this paper, a hybrid PI-sliding mode controller (SMC) scheme is designed to control the bidirectional DC-DC converters to overcome the drawbacks of aforementioned issues. The combined PI-SMC controller reduces the tuning effort and reduces the effect of shift in operating point in controller performance. Linear modeling is done using small signal analysis for each subsystems. Permanent magnet synchronous machine (PMSM) is used as electric vehicle. The entire system and its controllers are simulated using MATLAB-Simulink, and detailed comparison is carried between conventional PI and proposed hybrid PI-SMC scheme to regulate the DC link voltage. The results are tabulated and show that the hybrid PI-SMC scheme outperforms in transient and steady-state conditions than the traditional PI controller. A scaled hardware prototype of 48 W set-up is developed using dSPACE-1104, and the experimental results have been carried out to verify the proposed system’s feasibility.
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Chavda, Shyam, Angela Sorensen, James Vernau, Frank Hills, Chris Bishop, and Anthony Nicholas Turner. "Effect of Post-Activation Potentiation on Weightlifting Performance and Endocrinological Responses." Applied Sciences 15, no. 2 (2025): 748. https://doi.org/10.3390/app15020748.

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Purpose: This study examined the acute performance-enhancing effects and endocrinological responses of a supramaximal clean pull performed at 120% of clean and jerk, one repetition maximum, on clean performance. Methods: Eight (n = 8) ranked collegiate level weightlifters attended two days of testing in a randomised order. A control session was used to identify a baseline measure of kinetic and kinematic clean performance and endocrinological status following three cleans interspersed with one-minute recovery between repetitions. The experimental condition required participants to perform a single clean pull at 120% of clean and jerk, one repetition maximum, followed by three minutes recovery, prior to executing three cleans with one-minute recovery between repetitions. All cleans were performed on a dual force plate set up, synchronised with a 3D motion capture system to simultaneously record barbell and ground reaction force data. All endocrinological data were measured prior to the participant warming up and also following each testing protocol. Results: The results indicated that no significant differences were found between the control and PAP condition (p = 0.140–0.902); however, effect sizes from group analysis identified moderately negative to trivial effects across kinetic, kinematic and endocrinological variables (d = −0.30–0.14). Further analysis on an individual level demonstrated values, both negative and positive, ranging from extremely large (d = −4.10) to trivial (d = 0.04). Conclusions: The findings suggest a potentially negative affect of PAP on kinetic and kinematic measures of clean performance. However, individual responses varied, and thus some weightlifters may find this useful.
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Xu, Shiyun, Huadong Sun, Baiqing Li, et al. "Wide-Area Robust Decentralized Coordinated Control of HVDC Power System Based on Polytopic System Theory." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/510216.

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The present study proposes a hierarchical wide-area decentralized coordinated control framework for HVDC power system that is robust to multiple operating conditions. The upper level wide-area coordinated controller is designed in the form of dynamic output feedback control that coordinates the lower level HVDC supplementary controller, PSS, and SVC. In order to enhance the robustness of the designed controller under various operating conditions, the polytopic model is introduced such that the closed-loop control system can be operated under strong damping mode in virtue of the stability criterion based on damping ratio. Simulation results demonstrate that the proposed controller design algorithm is capable of enhancing the system damping over four different conditions.
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38

Arnold, Christopher M., and Michael E. Miller. "Visual feedback and control configuration influences in a head tracking interface." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 1701–5. http://dx.doi.org/10.1177/1071181322661182.

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Methods for enhancing pilot interaction with large, information dense, cockpit displays were explored. Specifically, the effects of visual feedback and selection button configuration were manipulated when augmenting cursor control with head tracking technology. Previous studies demonstrated that head tracking can be combined with traditional cursor control to decrease selection times but can increase pilot mental and physical workload. A human subject experiment was performed to evaluate two control button configurations and three visual feedback conditions. A repeated measures analysis of variance revealed that removing visual feedback reduced accuracy and selection time, control configuration did not affect performance. However, all head tracking configurations were faster than the current cursor control system. Fitts’ Law models provided a poor fit to the observed data. It is proposed that conditions without visual feedback may impose lower physical workload than the other configurations.
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39

Che Mustafar, M. Z., S. A. Abu Bakar, Z. Zainuddin, M. S. F. Mansor, N. H. F. Ismail, and M. R. Rani. "Optimal Design of an Adaptive Cruise Control System for Driving Comfort and Fuel Economy." Journal of the Society of Automotive Engineers Malaysia 4, no. 3 (2021): 279–87. http://dx.doi.org/10.56381/jsaem.v4i3.23.

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 Adaptive Cruise Control (ACC) is introduced to allow the subject vehicle to follow a target vehicle at a pre-selected time gap, up to a driver-selected velocity by controlling the engine and/or service brakes as defined in SAE J2399. A typical ACC ensures passenger comfort by minimizing the subject vehicle’s rate of acceleration and deceleration when following a target vehicle. However, if the ACC rate of velocity change is too slow, the subject vehicle might not be able to follow the target vehicle at the set time-gap. On the other hand, if the ACC responds too quickly to the changes in the target vehicle velocity, it might cause passenger discomfort and reduce energy efficiency due to the high rate of acceleration and deceleration. Thus, a research gap in ACC is identified, and this paper seeks to investigate an optimal ACC for driving comfort and fuel economy. This paper models the performance of a passenger vehicle with ACC using feedback control in Matlab Simulink. Three types of ACC control systems are simulated and compared; proportional-integral (PI) control, fuzzy logic control (FLC), and Linear-Quadratic Regulator (LQR). The performance of the control systems is simulated using set test scenarios, and an optimal ACC design is selected based on minimum acceleration, deceleration, and jerk performance, as defined in ISO 15622, following performance and minimum fuel consumption. Results show that the LQR controller has the best performance in meeting the ISO 15622, the lowest target vehicle the following root mean square error (RMSE), and the second-lowest New European Drive Cycle (NEDC) urban cycle fuel consumption.
 
 
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Jiang, L. J., J. Tang, and K. W. Wang. "An Optimal Sensitivity-Enhancing Feedback Control Approach via Eigenstructure Assignment for Structural Damage Identification." Journal of Vibration and Acoustics 129, no. 6 (2007): 771–83. http://dx.doi.org/10.1115/1.2748476.

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The concept of using sensitivity-enhancing feedback control to improve the performance of frequency-shift-based structural damage identification has been recently explored. In previous studies, however, the feedback controller is designed to alter only the closed-loop eigenvalues, and the effect of closed-loop eigenvectors on the sensitivity enhancement performance has not been considered. In this research, it is shown that the sensitivity of the natural frequency shift to the damage in a multi-degree-of-freedom structure can be significantly influenced by the placement of both the eigenvalues and the eigenvectors. A constrained optimization problem is formulated to find the optimal assignment of both the closed-loop eigenvalues and eigenvectors, and then an optimal sensitivity-enhancing control is designed to achieve the desired closed-loop eigenstructure. Another advantage of this scheme is that the dataset of frequency measurement for damage identification can be enlarged by utilizing a series of closed-loop controls, which can be realized by activating different combinations of actuators in the system. Therefore, by using this proposed idea of multiple sensitivity-enhancing feedback controls, we can simultaneously address the two major limitations of frequency-shift-based damage identification: the low sensitivity of frequency shift to damage effects and the deficiency of frequency measurement data. A series of case studies are performed. It is demonstrated that the sensitivity of natural frequency shift to stiffness reduction can be significantly enhanced by using the designed sensitivity-enhancing feedback control, where the optimal placement of closed-loop eigenvectors plays a very important role. It is further verified that such sensitivity enhancement can directly benefit the damage identification accuracy and robustness.
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41

Re, L. del, A˚ Go¨ransson, and A. Astolfi. "Enhancing Hydrostatic Gear Efficiency Through Nonlinear Optimal Control Strategies." Journal of Dynamic Systems, Measurement, and Control 118, no. 4 (1996): 727–32. http://dx.doi.org/10.1115/1.2802349.

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Energy efficiency and short response times are usually conflicting goals. In the case of hydrostatic gears, two basic system configurations are commonly used, which allow to obtain better efficiency—the primary control setup—or faster responses—the secondary control. In this paper, (1) a different control setup is proposed, combining both primary and secondary control, and this new setup is shown to allow even faster responses than the secondary control having, in general, much lower energy requirements. We also address (2) the question of the design of a multiobjective optimal control for the proposed nonlinear structure, showing that the noninferior set, i.e., the set of points where the reduction of one cost function needs the increase of the others, depends on the control algorithm used. It is shown that combined use of pump and motor swash plate displacement yields a better trade-off between response speed and efficiency, and that solving approximately the nonlinear optimization problem delivers better efficiency than optimizing a system consisting of the original plant and a linearizing feedback.
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42

Habib, Sulthan, Tengku Khairil Ahsyar, M. Afdal, Febi Nur Salisah, and Syaifullah Syaifullah. "Enhancing Website Usability by Utilizing Heuristic Evaluation and User Feedback for Better User Experience." Journal of Information System Research (JOSH) 4, no. 4 (2023): 1093–101. http://dx.doi.org/10.47065/josh.v4i4.3706.

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This research focuses on improving the usability of the Portal KUKERTA website used by Lembaga Penelitian dan Pengabdian pada Masyarakat Universitas Riau (LPPM UNRI) for the Kuliah Kerja Nyata (KKN) program. Based on direct observations of the Portal KUKERTA website, several usability issues related to the system were identified. Combining heuristic evaluation and user feedback, the study aims to enhance the user experience and ensure a user-friendly interface. Analysis of feedback from 98 users revealed the highest severity ratings in Flexibility and Efficiency of Use, Error Prevention, and User Control and Freedom. Recommendations were developed to address these issues and improve the user experience. The integration of heuristic evaluation and user feedback provides valuable insights for enhancing the usability of the Portal KUKERTA website, serving the needs of students and lecturers. Additionally, the research results showed scores for various usability principles, including visibility of system status (1.838), match between system and real world (2.264), user control and freedom (3.786), consistency and standards (2.325), error prevention (4.062), recognition rather than recall (2.250), flexibility and efficiency of use (4.075), aesthetic and minimalist design (2.713), and help users recognize, diagnose, and recover from errors (2.843). These findings further guide the improvement of specific areas to enhance the overall usability of the Portal KUKERTA website.
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Peng, Shigang, Meng Yu, Xinyu Geng, Xiang Cheng, and Pengfei Wang. "A Lightweight Exoskeleton Force Feedback Glove." Actuators 12, no. 5 (2023): 199. http://dx.doi.org/10.3390/act12050199.

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The wearable force feedback glove provides a promising solution for enhancing immersion during teleoperation. In this study, a lightweight five-finger exoskeleton force feedback glove (EFFG) was designed, enabling driving force detection and flexible force feedback. This wireless prototype weighs only 278 g. The glove features a bionic structure and optimized linkage length to ensure operator safety while providing extensive coverage of the finger working space. Moreover, a detailed illustration of the kinematic and dynamic analyses, as well as the circuit structure, was presented. With this prototype as the basis, an isomorphic teleoperation system is designed to achieve force feedback during teleoperation. Concurrently, a driving force-based impedance controller was proposed to enable smooth and precise force feedback. Finally, the performance of the EFFG prototype was evaluated in both unconstrained and constrained environments, demonstrating that the proposed glove is lightweight, capable of detecting driving force, and provides flexible force feedback.
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Qu, Wei, Hai Qiao, Zhao Xi Zhang, et al. "Permanent Magnet Synchronous Motor Drive System Based on Fuzzy Control." Applied Mechanics and Materials 336-338 (July 2013): 1519–24. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1519.

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A permanent magnet synchronous motor fuzzy control drive system based on field programmable gate array is proposed in this paper. This system has the high-precision control characteristic, which is hard for the traditional permanent magnet synchronous motor drive system to achieve. In this system a magnetic field oriented vector control with a zero excitation current is used, and three feedback loops consisting of current loop, velocity loop and position loop are used to build three fuzzy proportional integral controllers with fuzzy control method. The reliability and the dynamic of system performance can be improved by this method. The experimental results show that this system has advantages of high-precision control characteristic and enhancing the system robustness.
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Jo, Hanjin, Woong Choi, Geonhui Lee, Wookhyun Park, and Jaehyo Kim. "Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration." Sensors 20, no. 21 (2020): 6368. http://dx.doi.org/10.3390/s20216368.

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The human-in-the-loop technology requires studies on sensory-motor characteristics of each hand for an effective human–robot collaboration. This study aims to investigate the differences in visuomotor control between the dominant (DH) and non-dominant hands in tracking a target in the three-dimensional space. We compared the circular tracking performances of the hands on the frontal plane of the virtual reality space in terms of radial position error (ΔR), phase error (Δθ), acceleration error (Δa), and dimensionless squared jerk (DSJ) at four different speeds for 30 subjects. ΔR and Δθ significantly differed at relatively high speeds (ΔR: 0.5 Hz; Δθ: 0.5, 0.75 Hz), with maximum values of ≤1% compared to the target trajectory radius. DSJ significantly differed only at low speeds (0.125, 0.25 Hz), whereas Δa significantly differed at all speeds. In summary, the feedback-control mechanism of the DH has a wider range of speed control capability and is efficient according to an energy saving model. The central nervous system (CNS) uses different models for the two hands, which react dissimilarly. Despite the precise control of the DH, both hands exhibited dependences on limb kinematic properties at high speeds (0.75 Hz). Thus, the CNS uses a different strategy according to the model for optimal results.
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46

Satpute, Babasaheb. "Design and Implementation of a Real-Time Feedback System for Enhancing College-Level Coding Proficiency." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03394.

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Abstract— This paper presents the design and implementation of a real-time feedback system for enhancing coding proficiency among college students. The Code Problem Platform (CPP) is a full-stack application that integrates immediate error detection, detailed corrective insights, and persistent progress tracking to create an interactive learning environment for programming education. The system architecture follows a phased development approach: Phase 1 establishes a robust, multi-language code editor built on Monaco Editor with Judge0 API integration for code execution, while Phase 2 implements advanced features including syntax and logical error detection, local Storage-based progress persistence, and role-based access controls for academic integration. Technical challenges addressed include feedback generation for multiple programming languages, efficient state management across user sessions, and integration of real-time evaluation systems. The platform's architecture is designed to bridge the gap between academic programming courses and industry requirements through a comprehensive system that simulates real-world coding scenarios while providing contextual guidance. Future work includes empirical validation of the system's educational impact through controlled studies with student participants. Keywords— Real-time feedback systems, Programming education platform, Full-stack application design, Monaco Editor integration, Judge0 API implementation, Client-side state persistence, Educational technology architecture, Curriculum integration systems, Role-based access control, Programming feedback algorithms
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Chen, Lijuan, Lan Tao, Xiaolin Ma, et al. "Effects of Peer Video Feedback Based on Cultural Historical Activity Theory in the Operational Training of New Nurses: A Quasi-Experimental Study." Journal of Continuing Education in Nursing 56, no. 1 (2025): 27–33. https://doi.org/10.3928/00220124-20241213-06.

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Background Previous studies have confirmed the potential effectiveness of peer video feedback in the operational training of health care students. However, an appropriate theoretical framework to support peer video feedback has not been established. The cultural historical activity theory (CHAT) provides a suitable framework. This study evaluated the effectiveness of a peer video feedback activity system, adapted from CHAT, in enhancing operational skills, self-regulated learning abilities, and teaching satisfaction among new nurses. Method A quasi-experimental design was employed, involving 213 new nurses. The experimental group received training through a CHAT-based peer video feedback activity system, and the control group was trained through traditional instructor feedback. Data were collected after seven operational training sessions provided by the nursing department. Results Posttraining, the CHAT group scored statistically higher in operational examinations, self-regulated learning abilities, and teaching satisfaction compared with the control group ( p = .004, p = .004, and p < .001, respectively). Conclusion Operational training with a peer video feedback activity system can significantly enhance the operational skills, self-regulated learning abilities, and teaching satisfaction of new nurses. [ J Contin Educ Nurs. 2025;56(1):27–33.]
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Raksincharoensak, Pongsathorn, Sato Daisuke, and Mathias Lidberg. "Direct Yaw Moment Control for Enhancing Handling Quality of Lightweight Electric Vehicles with Large Load-To-Curb Weight Ratio." Applied Sciences 9, no. 6 (2019): 1151. http://dx.doi.org/10.3390/app9061151.

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In this paper a vehicle dynamics control system is designed to compensate the change in vehicle handling dynamics of lightweight vehicles due to variation in loading conditions and the effectiveness of the proposed design is verified by simulations and an experimental study using a fixed-base driving simulator. Considering the electrification of future mobility, the target vehicle of this research is a lightweight vehicle equipped with in-wheel motors that can generate an additional direct yaw moment by transverse distribution of traction forces to control vehicle yawing as well as side slip motions. Previously, the change in vehicle handling dynamics for various loading conditions have been analyzed by using a linear two-wheel vehicle model in planar motion and a control law of the DYC system based on feed-forward of front steering angular velocity and feedback of vehicle yaw rate. The feed-forward controller is derived based on the model following control with approximation of the vehicle dynamics to 1st-order transfer function. To make the determination of the yaw rate feedback gain model-based and adaptable to various vehicle velocity conditions, this paper selects a method where the yaw rate feedback gain in the DYC system is determined in a way that the steady-state yaw rate gain of the controlled loaded vehicle matches the gain of the unloaded vehicle. The DYC system is simulated in a single lane change maneuver to confirm the improved responsiveness of the vehicle while simulations of a double-lane change maneuver with a driver steering model confirms the effectiveness of the DYC system to support tracking control. Finally, the effectiveness of the proposed DYC system is also verified in an experimental study with ten human drivers using a fix-based driving simulator.
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Xia, Yan, Yang Chen, Renzhao Chen, et al. "A Transient Damping Improvement Strategy for Enhancing Grid-Connected Active Power Response Performance of VSG." Energies 17, no. 18 (2024): 4741. http://dx.doi.org/10.3390/en17184741.

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The given power and grid frequency disturbances can cause transient oscillations and steady-state deviations in the output power of a virtual synchronous generator (VSG), which can be effectively addressed by adding transient damping. However, this approach may result in significant power overshoot. This article proposes an improved VSG control strategy based on transient electromagnetic power feedback compensation and a small-signal model reduction scheme. Firstly, the grid-connected active closed-loop small-signal models of typical VSG control and transient damping VSG control are established, respectively. The transient oscillation suppression mechanism of active power is revealed through root locus and frequency response analyses, and the power overshoot characteristics of the two control strategies are analysed by combining them with the system of zero points. Secondly, the active transient feedback compensation method and the small-signal model reduction design method are introduced in detail. Finally, comparative analysis experiments are conducted using the Matlab/Simulink and hardware-in-the-loop experimental platform. It is verified that the proposed control strategy can suppress transient oscillations in active power, prevent steady-state deviations, and effectively mitigate the power overshoot problem of the system.
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Carneiro, Fernando, Rafael Tavares, José Rodrigues, Paulo Abreu, and Maria Teresa Restivo. "A Gamified Approach for Hand Rehabilitation Device." International Journal of Online Engineering (iJOE) 14, no. 01 (2018): 179. http://dx.doi.org/10.3991/ijoe.v14i01.7793.

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<p class="0abstract">This work details developments made in a system for hand rehabilitation, that aims to improve recovery of fine motor control, mostly for those recovering from stroke. The system consists of an instrumented device that is used to interact with a variety of games designed to improve fine motor control, enhancing rehabilitation practices. These games were tested with actual disabled individuals and therapists, having received overall positive feedback.</p>
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