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Relevant bibliographies by topics / Nonlinear dynamic state feedback controller (NDSFC)

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Academic literature on the topic 'Nonlinear dynamic state feedback controller (NDSFC)'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Nonlinear dynamic state feedback controller (NDSFC)"

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Wen, JianHua, ChangMao Qin, and Xin Zhang. "ADRC Attitude Controller Design for Hypersonic Vehicle based on MIMO-ESO." MATEC Web of Conferences 214 (2018): 03003. http://dx.doi.org/10.1051/matecconf/201821403003.

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For the hypersonic vehicle nonlinear attitude mode in reentry process with a strong coupling, aerodynamic parameter perturbations and non-deterministic, combine extended state observer and nonlinear law state error feedback, design the hypersonic vehicle MIMO-ESO ADRC attitude controller. Put interference such as uncertainty, coupling and parameter perturbations as “the sum of interference” ,use the extended state observer to estimate and dynamic feedback compensation, use nonlinear law state error feedback to inhibit residual of compensation. ADRC controller is charged without a precise model

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Gao, Peng, Guangming Zhang, Huimin Ouyang, and Lei Mei. "A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface-Mounted PMSM Drives Based on an Extended State Observer." Mathematical Problems in Engineering 2019 (September 18, 2019): 1–13. http://dx.doi.org/10.1155/2019/7130232.

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A novel sliding mode controller (SMC) with nonlinear fractional order PID sliding surface based on a novel extended state observer for the speed operation of a surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. First, a new smooth and derivable nonlinear function with improved continuity and derivative is designed to replace the traditional nonderivable nonlinear function of the nonlinear state error feedback control law. Then, a nonlinear fractional order PID sliding mode controller is proposed on the basis of the fractional order PID sliding surface with th

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Song, Ki-Young, Mahtab Behzadfar, and Wen-Jun Zhang. "A Dynamic Pole Motion Approach for Control of Nonlinear Hybrid Soft Legs: A Preliminary Study." Machines 10, no. 10 (2022): 875. http://dx.doi.org/10.3390/machines10100875.

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Hybrid soft leg systems have been studied for advanced gaits of soft robots. However, it is challenging to analyze and control hybrid soft legs due to their nonlinearity. In this study, we adopted dynamic pole motion (DPM) to analyze stability of a nonlinear hybrid soft leg system with dynamic Routh’s stability criterion and to design a proper controller for the nonlinear system with an error-based adaptive controller (E-BAC). A typical hybrid soft leg system was taken as an example, as such a system can easily become unstable and needs a controller to get the system back to a stable state. Sp

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Soltanian, Farzad, Amir Parviz Valadbeigi, Jafar Tavoosi, et al. "Adaptive Optimal Terminal Sliding Mode Control for T-S Fuzzy-Based Nonlinear Systems." Complexity 2024 (April 25, 2024): 1–22. http://dx.doi.org/10.1155/2024/7126978.

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This study utilizes the Takagi–Sugeno fuzzy model to represent a subset of nonlinear systems and presents an innovative adaptive approach for optimal dynamic terminal sliding mode control (TSMC). The systems under consideration encompass bounded uncertainties in parameters and actuators, as well as susceptibility to external disturbances. Performance evaluation entails the design of an adaptive terminal sliding surface through a two-step process. Initially, a state feedback gain and controller are developed using Linear Matrix Inequality (LMI) techniques, grounded on H2-performance and partial

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Chen, Nai Chao, Ping He, and Xia Yu. "Application of the LMI Approach in the Robust Force Control of Servo-Hydraulic Actuator with Parametric Uncertainties." Applied Mechanics and Materials 29-32 (August 2010): 240–45. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.240.

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Linear matrix inequalities (LMI) method is proposed to design the robust controller for the servo-hydraulic actuator with parametric uncertainties. The pretreatments are adopted to convert the nonlinear dynamic models into linear state equations using the linear fractional transformation (LFT) approach, which facilitates conveniently utilizing the LMI method to calculate the state feedback controller. The supervising parameters, including the system output and special derivative output generated from the uncertain items, are proposed to model a state matrix equation for representing the dynami

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Herrera-Granda, Erick P., Leandro L. Lorente-Leyva, Jenny Yambay, Jesús Aranguren, Marcelo Ibarra, and Julio Peña. "Controller Modeling of a Quadrotor." Ingénierie des systèmes d information 27, no. 1 (2022): 21–28. http://dx.doi.org/10.18280/isi.270103.

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Dynamic modeling and control are research fields that hake kept the attention of researchers over the last decades. In this paper we describe a detailed approach to model, design and simulate a feedback controller for a quadrotor with the aim of giving the reader a detailed procedure to obtain the dynamic model and link this model with a controller design strategy. For this purpose, the dynamic model of the Parrot AR. Drone 2.0 was obtained using the Newton-Euler formulations. Next, the model was converted to the state space, and it was linearized to get the equations to perform a controller g

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Samadi Khoshkho, Mohammadamin, Zahra Samadikhoshkho, and Michael G. Lipsett. "Distilled neural state-dependent Riccati equation feedback controller for dynamic control of a cable-driven continuum robot." International Journal of Advanced Robotic Systems 20, no. 3 (2023): 172988062311747. http://dx.doi.org/10.1177/17298806231174737.

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This article presents a novel learning-based optimal control approach for dynamic control of continuum robots. Working and interacting with a confined and unstructured environment, nonlinear coupling, and dynamic uncertainty are only some of the difficulties that make developing and implementing a continuum robot controller challenging. Due to the complexity of the control design process, a number of researchers have used simplified kinematics in the controller design. The nonlinear optimal control technique presented here is based on the state-dependent Riccati equation and developed with con

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Horowitz, Roberto, and Masayoshi Tomizuka. "An Adaptive Control Scheme for Mechanical Manipulators—Compensation of Nonlinearity and Decoupling Control." Journal of Dynamic Systems, Measurement, and Control 108, no. 2 (1986): 127–35. http://dx.doi.org/10.1115/1.3143754.

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This paper presents a new adaptive control scheme for mechanical manipulators. Making use of the fundamental properties of the manipulator equations, an adaptive algorithm is developed for compensating a nonlinear term in the dynamic equations and for decoupling the dynamic interaction among the joints. A computer simulation study is conducted to evaluate the performance of a manipulator control system composed of the manipulator, adaptive nonlinear compensator/decoupling controller and state feedback controller with integral action. Simulation results show that the manipulator control system

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Chen, Jie, Yan Lin, and Chang Peng Pan. "Hypersonic Aircraft Nonlinear Fault-Tolerant Controller Design." Applied Mechanics and Materials 494-495 (February 2014): 1056–59. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1056.

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One hypersonic aircraft nonlinear observer and controller are designed synthetically to solve the part of actuator failure problem. The research model is developed based on a SISO output feedback nonlinear unobservered minimum phase system. filter is adopted to reconstruct state vectors, adaptive control law is designed to guarantee the system boundedness. Dynamic surface control is employed strategy to eliminate the explosion of terms by introducing a series of first order filters to obtain the differentiation of the virtual control inputs. Both theory analysis and simulation verification sho

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Jiang, Meng-Meng, and Xue-Jun Xie. "Adaptive Finite-Time Stabilization of High-Order Nonlinear Systems with Dynamic and Parametric Uncertainties." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5702182.

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Under the weaker assumption on nonlinear functions, the adaptive finite-time stabilization of more general high-order nonlinear systems with dynamic and parametric uncertainties is solved in this paper. To solve this problem, finite-time input-to-state stability (FTISS) is used to characterize the unmeasured dynamic uncertainty. By skillfully combining Lyapunov function, sign function, backstepping, and finite-time input-to-state stability approaches, an adaptive state feedback controller is designed to guarantee high-order nonlinear systems are globally finite-time stable.

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Dissertations / Theses on the topic "Nonlinear dynamic state feedback controller (NDSFC)"

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Elgharib, Ahmed Omar Ahmed. "Différentes stratégies de contrôle pour le système d'éolienne connecté PMSG." Electronic Thesis or Diss., Aix-Marseille, 2022. http://www.theses.fr/2022AIXM0647.

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L'énergie éolienne est l'une des sources d'énergie renouvelables les plus attrayantes et prometteuses. Celle-ci offre un excellent substitut à la production d'énergie électrique traditionnelle. Les éoliennes basées sur un PMSG sont les mieux adaptées aux applications autonomes en raison de leur fiabilité et de leur haute efficacité. L'énergie éolienne a continué à jouer un rôle important et peut être considérée comme la source d'énergie renouvelable la plus déployée. Ce travail de recherche propose quelques méthodes de contrôle efficaces associées au contrôle de l'énergie éolienne. Il porte pr

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Book chapters on the topic "Nonlinear dynamic state feedback controller (NDSFC)"

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Li, Tai, Mengjie Li, Chunlin Yao, and Zhicheng Ji. "Wind Power Virtual Inertia Frequency Modulation Control Based on Intelligent Swarm Auto-Disturbance Rejection." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231147.

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This paper proposes a wind power virtual inertia control strategy based on the intelligent bee colony active disturbance rejection controller (ABC-ADRC). The proposed control method aims to improve the anti-interference capability of the virtual inertia control system and solve the challenge of tuning the parameters of the active disturbance rejection control (ADRC).The control strategy is developed based on the system frequency dynamic response equation. An active disturbance rejection controller is designed using a nonlinear feedback control law and an extended state observer. This controller aims to enhance the system’s ability to reject disturbances. However, tuning the parameters of the ADRC can be difficult. To address this issue, an ABC algorithm based on nectar collection behavior is proposed to iteratively optimize the ADRC parameters. The proposed control method is verified through simulations using Matlab/Simulink. The results demonstrate that the ABC-ADRC control strategy is more effective compared to traditional algorithms. It successfully controls the rotor speed to adjust the frequency of the power grid system, achieves power sharing, and eliminates adaptive noise. Furthermore, this method reduces the complexity of parameter settings, improves anti-interference ability, and enhances the robustness of the system.

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Conference papers on the topic "Nonlinear dynamic state feedback controller (NDSFC)"

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Haishan Ding and Jianqin Mao. "Nonlinear State Feedback Controller Design and Stability Analysis Based on a Discrete Dynamic Fuzzy model." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712522.

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Zha, Wenting, Chunjiang Qian, Junyong Zhai, and Shumin Fei. "Dynamic linear controller design for a class of high-order nonlinear systems via state-feedback." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7402683.

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Yan, Song, Chunjiang Qian, and Tingwen Huang. "Chaotic Synchronization of a Class of Nonlinear Systems via Sampled-Data State Feedback." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-5991.

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This paper presents a control strategy for the problem of using sampled-data feedback to synchronize a slave chaotic system with a master chaotic system. The problem is of practical importance since in practice the system states is transmitted as a sampled signal. In order to solve this problem, a sampled-data controller using state feedback is designed to make the tracking error converge to zero. An application to a chaotic Chua oscillator illustrates the effectiveness of the proposed approach.

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Baker, W. Alexander, Susan C. Schneider, and Edwin E. Yaz. "Robust H∞ Dynamic State-Feedback Control for Nonlinear Discrete-Time Systems via LMI-Based Regional Eigenvalue Assignment." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9762.

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This paper uses Linear Matrix Inequality (LMI) techniques to apply regional eigenvalue assignment constraints to a dynamic state-feedback controller design for discrete-time systems with vanishing nonlinear perturbations. The controller design also incorporates the H∞ performance criterion. The regional eigenvalue assignment place the eigenvalues of the linear part of the system in two distinct regions, one region for the controller eigenvalues and one region for the observer eigenvalues, in such a way that the state estimation error goes to zero significantly faster than the state reaches ste

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Vahdati, Pouya Mahdavipour, Luigi Vanfretti, M. Hadi Amini, and Ahad Kazemi. "Hopf Bifurcation Control of Power Systems Nonlinear Dynamics Via a Dynamic State Feedback Controller - Part II: Performance Evaluation." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586591.

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Ghafoor, A., J. Yao, S. N. Balakrishnan, J. Sarangapani, and T. Yucelen. "Event Triggered Neuroadaptive Controller (ETNAC) Design for Uncertain Affine Nonlinear Systems." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9103.

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In this paper, a novel event triggered neural network (NN) adaptive controller is presented for uncertain affine nonlinear systems. Controller design is based on an observer, called as Modified State Observer (MSO), which is used to approximate uncertainties online. State is sensed continuously yet sent on feedback network only when required, in aperiodic fashion. Lyapunov analysis is used to derive this condition which is dynamic in nature since it is based on tracking error. In this way ETNAC helps to not only saves communication cost but also computational efforts. MSO formulations have two

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Wang, Ruiyang, and Bingen Yang. "Nonlinear Control of a Transient Inductrack System Using State Feedback." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69961.

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Abstract The concept of Inductrack refers to the magnetic levitation technology achieved by Halbach arrays of permanent magnets. In an Inductrack system, the dynamic behaviors involved with transient responses are difficult to capture due to the highly nonlinear, time-varying, electromagnetic-mechanical couplings. In the literature, dynamic modeling of Inductrack systems that aims to analyze the transient behaviors has been widely addressed. However, one common issue with the previous investigations is that most of the dynamic models either partly or completely adopted certain steady-state and

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Vahdati, Pouya Mahdavipour, Ahad Kazemi, M. Hadi Amini, and Luigi Vanfretti. "Hopf Bifurcation Control of Power System Nonlinear Dynamics via a Dynamic State Feedback Controller–Part I: Theory and Modeling." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586656.

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Bekiaris-Liberis, Nikolaos, and Miroslav Krstic. "Stabilization of Nonlinear Strict-Feedback Systems With Time-Varying Delayed Integrators." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6014.

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We consider nonlinear systems in the strict-feedback form with simultaneous time-varying input and state delays, for which we design a predictor-based feedback controller. Our design is based on time-varying, infinite-dimensional backstepping transformations that we introduce, to convert the system to a globally asymptotically stable system. The solutions of the closed-loop system in the transformed variables can be found explicitly, which allows us to establish its global asymptotic stability. Based on the invertibility of the backstepping transformation, we prove global asymptotic stability

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Bas¸tu¨rk, Halil I˙, and Miroslav Krstic. "Adaptive Cancelation of Matched Unknown Sinusoidal Disturbances for LTI Systems by State Derivative Feedback." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-5956.

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Solutions already exist for the problem of canceling sinusoidal disturbances by measurement of state or an output for linear and nonlinear systems. In this paper, we design an adaptive controller to cancel matched sinusoidal disturbances forcing a linear time-invariant system by using only measurement of state-derivatives. Our design is based on three steps; 1) parametrization of the sinusoidal disturbance as the output of a known feedback system with an unknown output vector, 2) design of an adaptive disturbance observer and, 3) design of an adaptive controller. We prove that the equilibrium

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