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Journal articles on the topic 'Fuzzy sliding'

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Published: 4 June 2025

Last updated: 15 July 2025

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Zhang, Jing Jun, Wei Sha Han, and Rui Zhen Gao. "Fuzzy Sliding Mode Control for Semi-Active Suspension System." Advanced Materials Research 268-270 (July 2011): 1595–600. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1595.

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In Matlab/Simulink software semi-active suspension dynamic model of a quarter car is established and a sliding mode controller and a fuzzy sliding mode controller are designed. The fuzzy controller inputs are sliding mode switch function and its derivatives, and the output of absolute value is the sliding mode controller parameters. This fuzzy sliding mode controller chooses sliding mode controller and Skyhook as reference models and the simulation result shows that the stability of performance of the fuzzy sliding mode controller can effectively improve the driving smoothness and safety.

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Priyanto, Agoes, Mohammad Javad Nekooei, and Jaswar. "Design Online Artificial Gain Updating Sliding Mode Algorithm: Applied to Internal Combustion Engine." Applied Mechanics and Materials 493 (January 2014): 321–26. http://dx.doi.org/10.4028/www.scientific.net/amm.493.321.

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This paper presents an online Artificial Fuzzy sliding Gain Scheduling Sliding Mode Control (AFSGSMC) design and its application to internal combustion (IC) engine high performance nonlinear controller in the presence of uncertainties and external disturbance. The fuzzy online tune sliding function in fuzzy sliding mode controller is based on Mamdanis fuzzy inference system (FIS) and it has multi input and multi output. The input represents the function between sliding function, error and the rate of error. The output represents the dynamic estimator to estimate the nonlinear dynamic equivalent in supervisory fuzzy sliding mode algorithm. The performance of the AFSGSMC was compared with the IC engine controller based on sliding mode control theory (SMC). Simulation results signify good performance of fuel ratio in presence of uncertainty and external disturbance

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Mo, Lili, Yongqiang Liu, and Yan Zhang. "Sliding Mode Variable Structure Control for Surface Permanent Magnet Synchronous Motors Based on a Fuzzy Exponential Reaching Law." Mathematical Problems in Engineering 2019 (May 15, 2019): 1–14. http://dx.doi.org/10.1155/2019/8340956.

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In order to handle heavy chattering and negative robustness caused by time-varying system parameters and external load disturbance of the speed control system, thereby having high-precision control over surface permanent magnetic synchronous machine (PMSM), this paper combines the advantages of sliding mode variable structure control (SMVSC) and fuzzy control. Firstly, a fuzzy sliding mode variable structure control (FUZZY-SMVSC) method is proposed, based on the vector control foundation framework of surface PMSM (SPMSM). It effectively reduces chattering while keeping sliding mode, according to the fuzzy rules formulated based on fuzzy control principle. Secondly, integral sliding mode surface is used and integration element is introduced into fuzzy control input, thereby reducing the static error of the conventional fuzzy control. Simulation and experimental results show that the proposed fuzzy sliding mode variable structure control reduces chattering by fuzzy reasoning and softening. Also, it still can maintain the strong robustness of sliding mode variable structure and ensures the fine dynamics of the system, against time-varying system parameters and external load disturbance.

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Chen, Ta-Tau, and Sung-Chun Kuo. "FUZZY SIMPLEX-TYPE SLIDING-MODE CONTROL." Transactions of the Canadian Society for Mechanical Engineering 37, no. 3 (2013): 375–83. http://dx.doi.org/10.1139/tcsme-2013-0027.

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In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. The fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to form the fuzzy simplex sliding mode control (FSSMC) scheme which improves the system states response and reduces system states chattering phenomenon. In this paper, at first, we introduce the principle of simplex method, and then develop fuzzy controls based on the simplex method. Finally, a numerical example is proposed to illustrate the advantages of the proposed controllers, the simulation results demonstrate that the fuzzy simplex type sliding mode control scheme is a good solution to the chattering problem in the simplex sliding mode control.

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You, Xiang Yang. "A Novel Sensor Less Control of Induction Motor Based on Fuzzy Sliding-Mode Structure." Advanced Materials Research 588-589 (November 2012): 684–87. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.684.

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A novel fuzzy sliding-mode structure has been proposed for Extend Kalman Filter (EKF) based on sensorless control of an induction motor in this paper. Fuzzy sliding-mode structure includes two nonlinear controllers, one of which is sliding mode type and the other is PI-fuzzy logic based controller. The new structure has two advantages: sliding-mode controller increasing system stability and PI-like fuzzy logic based controller reducing the chattering in permanent state. The scheme has been implemented and experimentally validated.

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Chen, Ta Tau, and Sung Chun Kuo. "Fuzzy Simplex-Type Sliding-Mode Control." Applied Mechanics and Materials 284-287 (January 2013): 2244–48. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2244.

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In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. Here, the fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to improve the system states response and to reduce system states chattering phenomenon of the controlled system for simplex control method. Hence, from this motivation yields the so-called fuzzy simplex sliding mode control (FSSMC) scheme. the fuzzy logic control algorithm and simplex sliding mode control algorithm is integrated to improve the system states response and chattering phenomenon. In this paper, at first, we introduce the principle of simplex method, and then develop the fuzzy controls based on the simplex method. Finally, a numerical example is proposed to illustrate the advantages of the proposed controllers, the simulation results demonstrate that the fuzzy simplex type sliding mode control scheme is a good solution to the chattering problem in the simplex sliding mode control.

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Anh, Ho Pham Huy, Cao Van Kien, Nguyen Ngoc Son, and Nguyen Thanh Nam. "New approach of sliding mode control for nonlinear uncertain pneumatic artificial muscle manipulator enhanced with adaptive fuzzy estimator." International Journal of Advanced Robotic Systems 15, no. 3 (2018): 172988141877320. http://dx.doi.org/10.1177/1729881418773204.

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A new enhanced adaptive fuzzy sliding mode control approach is proposed in this article with its good availability for application in control of a highly uncertain nonlinear two-link pneumatic artificial muscle manipulator. Stability demonstration of the robust convergence of the closed-loop pneumatic artificial muscle manipulator system based on a novel enhanced adaptive fuzzy sliding mode control is experimentally proved using Lyapunov stability theorem. Obtained result confirms that the new enhanced adaptive fuzzy sliding mode control method, applied to the two-link uncertain nonlinear pneumatic artificial muscle manipulator system, is fully investigated with better robustness and precision than the standard sliding mode control and fuzzy sliding mode control techniques.

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Palm, Rainer. "Fuzzy sliding mode controller with fuzzy inputs." IFAC Proceedings Volumes 32, no. 2 (1999): 8619–24. http://dx.doi.org/10.1016/s1474-6670(17)57470-4.

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Huo, Ju, and Jia Shan Cui. "Design of Spacecraft Controller Based on Adaptive Fuzzy Sliding Mode Variable Structure." Applied Mechanics and Materials 380-384 (August 2013): 278–81. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.278.

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Using of feedback linearization technique to solve the problem of traditional sliding mode control chattering. The fuzzy adaptive control and sliding mode variable structure was designed by combining a novel adaptive fuzzy sliding mode variable structure controller. Through fuzzy inference and the stability analysis based on Lyapunov function to obtain fuzzy control rules adaptive law and effective solution to the traditional sliding mode control of the need to determine the parameter perturbation and external interference supremum uncertainty. Simulation results show that this method has better stability and robustness.

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Qi, Duo, Jinfu Feng, and Jian Yang. "Longitudinal Motion Control of AUV Based on Fuzzy Sliding Mode Method." Journal of Control Science and Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7428361.

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According to the characteristics of AUV movement, a fuzzy sliding mode controller was designed, in which fuzzy rules were adopted to estimate the switching gain to eliminate disturbance terms and reduce chattering. The six-degree-of-freedom model of AUV was simplified and longitudinal motion equations were established on the basis of previous research. The influences of first-order wave force and torque were taken into consideration. The REMUS was selected to simulate the control effects of conventional sliding mode controller and fuzzy sliding mode controller. Simulation results show that the fuzzy sliding mode controller can meet the requirements and has higher precision and stronger antijamming performances compared with conventional sliding mode controller.

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Wang, Shun Yuan, Chwan Lu Tseng, Shou Chuang Lin, Jen Hsiang Chou, Yung Shun Chang, and Wen Tsai Sung. "Hybrid Fuzzy-Sliding Control with Fuzzy Self-Tuning for Vector Controlled Drive Systems." Applied Mechanics and Materials 418 (September 2013): 96–99. http://dx.doi.org/10.4028/www.scientific.net/amm.418.96.

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The purpose of this study was to develop a hybrid fuzzy-sliding controller with fuzzy self-tuning (HFSC). This controller used a fuzzy supervisory system to allocate the output proportions of a sliding-mode controller and a fuzzy controller (FC). The sliding-mode controller primarily provides rapid control efforts in the transient state, and the FC mainly offers smooth control in the steady state and decreases the chatter phenomenon caused by the sliding-mode controller. Finally, the proposed HFSC was implemented in the vector controlled drive system of induction motor as the speed controller. The experimental results showed that the tracking performance and effects of the HFSC were superior to those of the FC.

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Piltan, Farzin, Cheol-Hong Kim, and Jong-Myon Kim. "Advanced Adaptive Fault Diagnosis and Tolerant Control for Robot Manipulators." Energies 12, no. 7 (2019): 1281. http://dx.doi.org/10.3390/en12071281.

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In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy sliding mode extended autoregressive exogenous input (ARX)–Laguerre proportional integral (PI) observer is proposed. The proposed T–S fuzzy sliding mode extended-state ARX–Laguerre PI observer adaptively improves the reliability, robustness, estimation accuracy, and convergence of fault detection, estimation, and identification. For fault-tolerant control in the presence of uncertainties and unknown conditions, an adaptive fuzzy sliding mode estimation technique is introduced. The sliding surface slope gain is significant to improve the system’s stability, but the sliding mode technique increases high-frequency oscillation (chattering), which reduces the precision of the fault diagnosis and tolerant control. A fuzzy procedure using a sliding surface and actual output position as inputs can adaptively tune the sliding surface slope gain of the sliding mode fault-tolerant control technique. The proposed robust adaptive T–S fuzzy sliding mode estimation extended-state ARX–Laguerre PI observer was verified with six degrees of freedom (DOF) programmable universal manipulation arm (PUMA) 560 robot manipulator, proving qualified efficiency in detecting, isolating, identifying, and tolerant control for faults inherent in sensors and actuators. Experimental results showed that the proposed technique improves the reliability of the fault detection, estimation, identification, and tolerant control.

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Luo, Honglin, and Jiali Zheng. "Dissipativity-Based Fuzzy Integral Sliding Mode Control of Nonlinear Stochastic Systems." Discrete Dynamics in Nature and Society 2021 (March 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/6650516.

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In this paper, both dissipation and stabilization of nonlinear T-S fuzzy systems with uncertain parameters are considered. By designing a new integral sliding mode control scheme, which sufficiently utilizes the special properties of T-S fuzzy membership functions, the difficulties induced by the uncertainties and external interference in T-S fuzzy systems are overcome by this new scheme. For the time delay and uncertainty, sufficient conditions are given to ensure the strict dissipation and asymptotic stability of the corresponding sliding mode dynamics. We propose a fuzzy integral sliding mode control law to drive the system trajectory to the fuzzy switching surface in the case of uncertainty and external interference. The realization of a fuzzy sliding mode controller for an inverted pendulum system proves the feasibility and superiority of our theoretical results.

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Fang, Yunmei, Juntao Fei, and Tongyue Hu. "Adaptive backstepping fuzzy sliding mode vibration control of flexible structure." Journal of Low Frequency Noise, Vibration and Active Control 37, no. 4 (2018): 1079–96. http://dx.doi.org/10.1177/1461348418767097.

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An adaptive backstepping fuzzy sliding mode control is proposed to approximate the unknown system dynamics for a cantilever beam in this paper. The adaptive backstepping fuzzy sliding mode control is developed by combining the backstepping method with adaptive fuzzy strategy, where backstepping design approach is used to drive the trajectory tracking errors to converge to zero rapidly with global asymptotic stability and fuzzy logic system is designed to approximate the unknown nonlinear function in the adaptive backstepping fuzzy sliding mode control. The proposed backstepping controllers can ensure proper tracking of the reference trajectory, and impose a desired dynamic behavior, giving robustness and insensitivity to parameter variations. Numerical simulation for cantilever beam is investigated to verify the effectiveness of the proposed adaptive backstepping fuzzy sliding mode control scheme and demonstrate the satisfactory vibration suppression performance.

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Lu, Hua Cai, Juan Ti, Yi Ming Yuan, and Li Sheng Wei. "Sensorless Control for PMLSM Based on Fuzzy Sliding Mode Observer." Applied Mechanics and Materials 556-562 (May 2014): 2270–73. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2270.

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In this paper, a new sensorless control method is proposed for a permanent magnet linear synchronous motor based on Fuzzy sliding mode observer, which combines the advantages of sliding mode observer and Fuzzy controller respectively. The difference between the current estimated value and the actual current value is regarded as sliding mode function; sliding mode function (current error) and variation of the error are used as the input of fuzzy controller, and the width of the boundary layer as the output, adjusting the width of the boundary layer dynamically in real time. The simulation results show that Fuzzy sliding mode observer is able to find a balance between soft chattering and steady-state error, keep the system robustness and control precision.

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Ding, Li, and Shu Bo Qiu. "The Research Based on Fuzzy Sliding Mode Control for Linear Double Inverted Pendulum." Advanced Materials Research 926-930 (May 2014): 1463–67. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1463.

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This paper involves a linear double inverted pendulum system whose the state space model is established by Lagrange function. In order to solve the chattering problem of the conventional quasi-sliding mode variable structure control, this linear double inverted pendulum system applies the fuzzy control theory to adjust the parameterwhich is in the sliding mode variable structure control law. Then the fuzzy theory is utilized to design the sliding mode and deduce the fuzzy sliding mode reaching law. The significance of this method is that it diffuses the control signal, reduces or avoids the chattering phenomenon of sliding mode control. For the most, the simulation results show that the linear double inverted pendulum system based on fuzzy sliding mode variable structure control not only retains the strong robustness of sliding mode variable structure control, but also improves the dynamic quality of the system and weakens the buffeting of the system. Thus the method is proved to have certain research.

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Paul, Satyam, Wen Yu, and Xiaoou Li. "Discrete-time sliding mode for building structure bidirectional active vibration control." Transactions of the Institute of Measurement and Control 41, no. 2 (2018): 433–46. http://dx.doi.org/10.1177/0142331218764581.

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In terms of vibrations along bidirectional earthquake forces, several problems are faced when modelling and controlling the structure of a building, such as lateral-torsional vibration, uncertainties surrounding the rigidity and the difficulty of estimating damping forces. In this paper, we use a fuzzy logic model to identify and compensate the uncertainty which does not require an exact model of the building structure. To attenuate bidirectional vibration, a novel discrete-time sliding mode control is proposed. This sliding mode control has time-varying gain and is combined with fuzzy sliding mode control in order to reduce the chattering of the sliding mode control. We prove that the closed-loop system is uniformly stable using Lyapunov stability analysis. We compare our fuzzy sliding mode control with the traditional controllers: proportional–integral–derivative and sliding mode control. Experimental results show significant vibration attenuation with our fuzzy sliding mode control and horizontal-torsional actuators. The proposed control system is the most efficient at mitigating bidirectional and torsional vibrations.

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Eksin, I., M. Güzelkaya, and S. Tokat. "Self-tuning mechanism for sliding surface slope adjustment in fuzzy sliding mode controllers." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, no. 5 (2002): 393–406. http://dx.doi.org/10.1177/095965180221600503.

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There is an important relationship between fuzzy logic control and sliding mode control and integrating them to exploit the superior sides of these two techniques is an active area in control theory. The dynamic behaviour of the hybrid fuzzy sliding mode depends quite heavily on the sliding surface on which the control structure is switched. The main objective of this paper is to improve the system performance by continuously updating the slope of the sliding surface by a new time-varying coefficient. General and system independent meta-rules are generated in order to update this coefficient. Then, an algorithm that satisfies these meta-rules is first obtained using a fuzzy inference mechanism. Later, the fuzzy inference mechanism is replaced by an empirical formula that also satisfies the related meta-rules. The effectiveness of the proposed methods over the conventional fuzzy sliding mode controller is illustrated through the simulations performed on a second-order system with uncertain parameters.

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Asad, Yaghoub Pour, Afshar Shamsi, and Jafar Tavoosi. "Backstepping-Based Recurrent Type-2 Fuzzy Sliding Mode Control for MIMO Systems (MEMS Triaxial Gyroscope Case Study)." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, no. 02 (2017): 213–33. http://dx.doi.org/10.1142/s0218488517500088.

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This paper presents a novel type-2 fuzzy sliding mode control with nonlinear consequent part in fuzzy rules for control of Micro-Electro-Mechanical Systems (MEMS) gyroscope. The MEMS gyroscope consists of the basic mechanical structure, an electronic transducer to excite the system as well as an electronic sensor to detect the change in the mechanical structures modal shape. A nonlinear consequent part recurrent type-2 fuzzy system is used to approximate the conventional sliding mode control (SMC) law. A supervisory compensator is introduced to eliminate the effect of the approximation error. The adaptive adjustment algorithms for type-2 fuzzy parameters are derived in the sense of projection algorithm and Lyapunov stability theorem. The proposed type-2 fuzzy system has simple structure with six layers. Recurrent feedbacks at the fifth layer uses delayed outputs for improve the performance of type-2 fuzzy system. Finally the proposed type-2 fuzzy sliding mode control system is used to tracking control design with regard to uncertainty in MEMS gyroscope system. Combination of backstepping method and sliding mode control helps to compensate the control signal and get a better performance. The backstepping method is used to improve the global ultimate asymptotic stability and applying the sliding mode control to obtain high response and invariability to uncertainties. Simulation results show the proposed type-2 fuzzy system has better performance than ANFIS-based sliding mode control.

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Li, Jen-Hsing, and Juing-Shian Chiou. "Two-Dimensional Fuzzy Sliding Mode Control of a Field-Sensed Magnetic Suspension System." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/386796.

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This paper presents the two-dimensional fuzzy sliding mode control of a field-sensed magnetic suspension system. The fuzzy rules include both the sliding manifold and its derivative. The fuzzy sliding mode control has advantages of the sliding mode control and the fuzzy control rules are minimized. Magnetic suspension systems are nonlinear and inherently unstable systems. The two-dimensional fuzzy sliding mode control can stabilize the nonlinear systems globally and attenuate chatter effectively. It is adequate to be applied to magnetic suspension systems. New design circuits of magnetic suspension systems are proposed in this paper. ARM Cortex-M3 microcontroller is utilized as a digital controller. The implemented driver, sensor, and control circuits are simpler, more inexpensive, and effective. This apparatus is satisfactory for engineering education. In the hands-on experiments, the proposed control scheme markedly improves performances of the field-sensed magnetic suspension system.

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Fan, Liping, Chong Li, and Kosta Boshnakov. "Performance Comparison of Three Different Controllers of Proton Exchange Membrane Fuel Cell." Open Fuels & Energy Science Journal 8, no. 1 (2015): 115–22. http://dx.doi.org/10.2174/1876973x01508010115.

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Proton exchange membrane fuel cells (PEMFCs) are promising clear and efficient new energy sources. An excellent control system is a normal working prerequisite for maintaining a fuel cell system in correct operating conditions. Conventional controllers could not satisfy the high performance to obtain the acceptable responses because of uncertainty, time-change, nonlinear, long-hysteresis and strong-coupling characteristics of PEMFCs. Based on the dynamic model of PEMFC, an adaptive fuzzy sliding mode controller is proposed for PEMFC to realize constant voltage output and reliability service. Three different controllers, including fuzzy controller, fuzzy sliding mode controller and adaptive fuzzy sliding mode controller, are designed and compared. Simulation results show that the proposed adaptive fuzzy sliding mode controller for PEMFC can get satisfactory controlling effects.

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Ullah, Nasim, and Faizan Ahmad Bhatti. "Adaptive Variable Universe of Discourse Fuzzy Sliding Mode Control." Applied Mechanics and Materials 656 (October 2014): 327–34. http://dx.doi.org/10.4028/www.scientific.net/amm.656.327.

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This paper proposes adaptive variable universe of discourse fuzzy sliding mode control for efficient compensation of unbounded disturbances and reduced chattering. Classical sliding mode control is robust to bounded uncertainties and disturbances. The disadvantages of classical sliding mode control are high frequency chattering and poor performance in case of unbounded disturbances. Chattering phenomena is minimized using adaptive fuzzy sliding mode control but fuzzy fixed universe of discourse makes it in-efficient for time varying unbounded disturbances and uncertainties. This article investigates a variable universe of discourse fuzzy logic system for unbounded disturbances. Fuzzy universe of discourse for membership functions of input and output parameters is tuned online using an adaptive empirical law derived from the error dynamics. Performance of proposed control is verified using extensive simulations.

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Abid, Hafedh, Mohamed Chtourou, and Ahmed Toumi. "Robust Fuzzy Sliding Mode Controller for Discrete Nonlinear Systems." International Journal of Computers Communications & Control 3, no. 1 (2008): 6. http://dx.doi.org/10.15837/ijccc.2008.1.2370.

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In this work we are interested to discrete robust fuzzy sliding mode control. The discrete SISO nonlinear uncertain system is presented by the Takgi- Sugeno type fuzzy model state. We recall the principle of the sliding mode control theory then we combine the fuzzy systems with the sliding mode control technique to compute at each sampling time the control law. The control law comports two terms: equivalent control law and switching control law which has a high frequency. The uncertainty is replaced by its upper bound. Inverted pendulum and mass spring dumper are used to check performance of the proposed fuzzy robust sliding mode control scheme.

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Zhao, Bingjie, Yang Liu, Danping Jia, et al. "Application of Fuzzy Sliding Mode Control in Voice Coil Motor Control System." Journal of Physics: Conference Series 2281, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1742-6596/2281/1/012009.

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Abstract The requirements of modern industry on the response speed and accuracy of voice coil motors has been the gradual growth, and PID control algorithms have become increasingly unable to meet their requirements. The use of sliding mode control can speed up the response time of the motor, and it also can improve the response speed, overshoot and instability problems in some degree. However, the sliding mode control algorithm will bring jitter to the entire system. This paper combines fuzzy control and sliding mode control to adjust the parameters of the sliding mode control algorithm in real time, which greatly reduces the jitter problem caused by the sliding mode. According to the actual parameters of the voice coil motor, the transfer function of the voice coil motor is deduced, a simulation model of fuzzy sliding mode control is built, and the sliding mode control and fuzzy sliding mode control algorithms are compared. Finally, two signals of step and sine are used as inputs for simulation model. It can be seen through the simulation waveform that the fuzzy sliding mode control algorithm can improve the response speed of the control system and reduce the tracking error.

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Sharma, Manu, and S. P. Singh. "Fuzzy Sliding Mode Control of Plate Vibrations." Shock and Vibration 17, no. 1 (2010): 71–92. http://dx.doi.org/10.1155/2010/952928.

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In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. A design approach of a sliding mode controller for linear systems with mismatched time-varying uncertainties is used in this paper. It is found that chattering around the sliding surface in the sliding mode control can be checked by the proposed fuzzy sliding mode control approach. With presented fuzzy sliding mode approach the actuator voltage time response has a smooth decay. This is important because an abrupt decay can excite higher modes in the structure. Fuzzy rule base consisting of nine rules, is generated from the sliding mode inequality. Experimental implementation of the control approach verify the theoretical findings. For experimental implementation, size of the problem is reduced using modal truncation technique. Modal displacements as well as velocities of first two modes are observed using real-time kalman observer. Real time implementation of fuzzy logic based control has always been a challenge because a given set of rules has to be executed in every sampling interval. Results in this paper establish feasibility of experimental implementation of presented fuzzy logic based controller for active vibration control.

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Hu, Sheng Bin, Jin Yuan Xu, Xuan Wu, Chi Zhang, and Yi Hao He. "Fast Terminal Fuzzy Sliding Mode Control for Attitude of Flapping Wing Micro Aerial Vehicle." Applied Mechanics and Materials 427-429 (September 2013): 1179–82. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1179.

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A fast terminal fuzzy sliding mode control scheme for the attitude of flapping wing micro aerial vehicle is proposed in this paper. Based on the feedback linearization technique, a fast terminal sliding mode controller is designed. To diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by using Lyapunov theory. Simulation results show that the proposed control scheme is effective.

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Hu, Sheng Bin, Wen Hua Lu, Zhi Yi Chen, Lei Lei, and Yi Xuan Zhang. "Attitude Control of Flapping Wing Micro Aerial Vehicle Based on Double Fuzzy Sliding Mode Control." Advanced Materials Research 468-471 (February 2012): 704–7. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.704.

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An adaptive Double Fuzzy Sliding Mode Control scheme for attitude control of Flapping Wing Micro Aerial Vehicle is proposed in this paper. Based on the feedback linearization technique, a sliding mode controller is designed. To faster response speed, a fuzzy controller is designed to adaptively tune the slope of sliding mode surface. To reduce the chattering, another fuzzy controller is designed to adaptively tune the switch part of sliding mode control. The system stability is proved by Lyapunov principle. Simulation results show that the proposed control scheme is effective.

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Bensaada, M., S. Della Krachai, and F. Metehri. "Proposed Fuzzy Logic Controller for Buck DC-DC Converter." International Journal of Fuzzy Systems and Advanced Applications 7 (February 5, 2021): 24–28. http://dx.doi.org/10.46300/91017.2020.7.5.

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This paper provides the design for buck DC-DC converter system using fuzzy logic as well as sliding mode method. Design of fuzzy logic controller will be based on improvement of imperfection of the sliding mode controller, in particular the robustness and response time of the system. The simulation results of both systems using fuzzy logic and sliding mode are shown as well as compared to signify better of the two.

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Xiang, Wei, and Xiejin Liu. "An Adaptive Fuzzy Sliding Mode Control Design for a Class of Uncertain Horizontal Platform Systems." Abstract and Applied Analysis 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/154383.

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This paper presents an adaptive fuzzy sliding mode control design for a class of uncertain horizontal platform systems (HPSs). Firstly, a nonsingular terminal sliding surface is proposed for HPSs. Then, a fuzzy logic system is introduced to estimate the system uncertainties. The adaptive fuzzy sliding mode controller can guarantee the stability of the closed-loop system. The corresponding numerical simulations are demonstrated to verify the effectiveness of the proposed method.

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Guo, Yufei, Leru Luo, and Changchun Bao. "Design of a Fixed-Wing UAV Controller Combined Fuzzy Adaptive Method and Sliding Mode Control." Mathematical Problems in Engineering 2022 (January 31, 2022): 1–22. http://dx.doi.org/10.1155/2022/2812671.

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To overcome the complexity of the coupled nonlinear model of a fixed-wing UAV system and the uncertainty caused by a large number of interference factors, a control algorithm combining fuzzy adaptive control and sliding mode variable structure control was proposed. The controller algorithm mainly relies on the sliding mode variable structure control method to solve the control problem of the strongly coupled complex nonlinear system. Based on sliding mode control, a fuzzy adaptive method is introduced to reduce the chattering problem of the traditional sliding mode control, and the uncertain parameters and unknown functions caused by external disturbances are approximated by this method. In this study, two types of fuzzy adaptive sliding mode controller were designed according to the different object ranges of the fuzzy adaptive algorithm. In addition, the stability of the controllers was verified using the Lyapunov method. Finally, numerical simulations are performed to demonstrate the effectiveness of the proposed controllers by comparing with the traditional sliding mode controller.

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Yao, Guozhong, Xianxiang Wang, Zhengjiang Wang, and Yuhan Xiao. "Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer." Electronics 12, no. 15 (2023): 3266. http://dx.doi.org/10.3390/electronics12153266.

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Based on the problems of sliding mode observer (SMO), such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, this paper studies fuzzy control in depth using a sigmoid (s) function with smooth and continuous characteristics instead of a discontinuous symbolic function to design a new type of fuzzy sliding mode observer. Firstly, the boundary layer thickness was introduced to enable the system to achieve adaptive sliding mode gain adjustment based on the system state. Then, based on PLL technology, PI adjustment was used to obtain rotor position information. Finally, in order to verify the effectiveness of the new method, a model was built for experimental verification, and the simulation waveforms of the traditional sliding mode observer and the new fuzzy sliding mode observer were compared. The results show that the new fuzzy sliding mode observer can more accurately estimate rotor position and speed information. Under the same operating conditions, the rotational speed estimation error is only 3 r/min, the rotor position error is reduced by 0.1 rad, the overshoot is smaller, and the chattering is significantly reduced.

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Pathak, Monisha, and Dr Mrinal Buragohain. "Adaptive Sliding Mode Controller for Robotic Manipulator Tracking Control with Fuzzy Design." International Journal of Engineering and Advanced Technology 11, no. 6 (2022): 164–67. http://dx.doi.org/10.35940/ijeat.f3755.0811622.

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This paper introduces an adaptive sliding mode controller design based on fuzzy compensation for efficient robotic manipulator tracking control. This work introduces design of Adaptive Fuzzy Controller based on sliding control principles for Robotic Manipulators. In the work, an adaptive fuzzy sliding mode control algorithm is proposed for tracking control of robot manipulators. The fuzzy system uses a set of fuzzy rules, the parameters of which are modified in real-time by adaptive laws, to approximate unknown nonlinearities. This makes it easier to direct the nonlinear system's output to follow a specific trajectory. An adaptive control algorithm based on the adaptive fuzzy model is created using the Lyapunov approach. Both the chattering and the stable performance are assured.

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Pathak, Dr Monisha, and Dr Mrinal Buragohain. "Fuzzy System Approximation based Adaptive Sliding Mode Control for Nonlinear System." International Journal of Engineering and Advanced Technology 13, no. 2 (2023): 30–34. http://dx.doi.org/10.35940/ijeat.b4338.1213223.

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In this paper, an adaptive sliding mode control utilizing a fuzzy system approximation is introduced. The fuzzy system is used to approximate the unknown function of an uncertain nonlinear system. The robustness of the system is ensured by the sliding mode control, while the adaptive fuzzy system improves real-time performance. To approximate unknown nonlinearities, a set of fuzzy rules is formulated whose parameters are adjusted in real-time by an adaptive algorithm. The chattering problem of sliding mode control is satisfactorily resolved, and stable operation is assured.

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Dr., Monisha Pathak. "Fuzzy System Approximation based Adaptive Sliding Mode Control for Nonlinear System." International Journal of Engineering and Advanced Technology (IJEAT) 13, no. 2 (2023): 30–34. https://doi.org/10.35940/ijeat.B4338.1213223.

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<strong>Abstract:</strong> In this paper, an adaptive sliding mode control utilizing a fuzzy system approximation is introduced. The fuzzy system is used to approximate the unknown function of an uncertain nonlinear system. The robustness of the system is ensured by the sliding mode control, while the adaptive fuzzy system improves real-time performance. To approximate unknown nonlinearities, a set of fuzzy rules is formulated whose parameters are adjusted in real-time by an adaptive algorithm. The chattering problem of sliding mode control is satisfactorily resolved, and stable operation is assured.

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Tang, Pu Hua, and Yu Yong Lei. "On Fuzzy Sliding Control for a Robot Manipulator." Advanced Materials Research 834-836 (October 2013): 1251–55. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1251.

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A fuzzy sliding control for the motion of the robot manipulator is proposed. The quasi-sliding mode control (QSMC) was added to the fuzzy control. Therefore the system inputs and fuzzy rules can be reduced in fuzzy sliding control. Then the system will be a Single Input Single Output (SISO) system and it has only five fuzzy rules. This makes design process much more simple. The simulation results show that by employing proposed controller to the position control of a three-axis robot manipulator, the overshoot was drastically reduced. Also fast rising time and a small extent of steady-state error can be obtained.

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Hu, Sheng Bin, Wen Hua Lu, Da Min Cao, and Hai Rong Xu. "Fast Terminal Fuzzy Sliding Mode Control for a Three-Links Spatial Robot." Applied Mechanics and Materials 226-228 (November 2012): 840–43. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.840.

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To achieve high performance tracing control of the three-links spatial robot, a fast terminal fuzzy sliding mode control method is proposed in this paper. Firstly, the control method can efficiently solve the singularity of the controller through switching between terminal sliding mode surface and linear sliding mode surface. Secondly, to diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by using Lyapunov theory. The proposed controller is then applied to the control of a three-links spatial robot. Simulation results show the validity of the proposed control scheme.

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Benyazid, Yassine, Mohamed Fnadi, and Ahmed Said Nouri. "A Discrete Integral Sliding Manifold for a Nonlinear System with Time Delay: An Event-Triggered Scheme." Mathematics 11, no. 10 (2023): 2326. http://dx.doi.org/10.3390/math11102326.

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This paper presents a new approach to integral sliding mode control for discrete nonlinear systems with time delay. The approach is based on an event-triggered scheme and is applied to Takagi–Sugeno fuzzy models. In the first step, a new integral sliding function is constructed, which avoids the limited assumptions of most existing fuzzy sliding mode control schemes. The design parameter matrices defining the sliding surface are obtained by solving linear matrix inequalities. In the second step, an event trigger-based integral sliding mode control protocol is developed to ensure the state trajectories of the Takagi–Sugeno fuzzy systems with time delays. Finally, the proposed strategies are evaluated through a simulation example to demonstrate their effectiveness.

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Pham, Thanh Tung, and Chi-Ngon Nguyen. "Adaptive Fuzzy Proportional Integral Sliding Mode Control for Two-Tank Interacting System." Journal of Engineering and Technological Sciences 54, no. 3 (2022): 220310. http://dx.doi.org/10.5614/j.eng.technol.sci.2022.54.3.10.

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This paper presents an adaptive fuzzy proportional integral sliding mode control (AFPISMC) for two-tank interacting system (TTIS). In order to maintain the desired liquid level of the TTIS and meet the reference values for attenuated chattering problems, this paper proposes a combination of a sliding mode control (SMC) with a proportional integral (PI) sliding surface and a fuzzy inference system. Fuzzy logic and the universal approximation theorem of fuzzy systems are used to approximate the uncertain function in the PISMC. The stability of the control system is proved by the Lyapunov theory. The simulation results of the proposed method in MATLAB/Simulink were compared to a fuzzy control, a sliding mode control with conditional integrals, a fuzzy-PID control, and a conventional PID control. The comparison results showed that the proposed controller was most effective when the rising time reached 0.2375 s, the percent of overshoot was 0%, the steady state error converged to zero, the settling time was 0.4612 s, and chattering was reduced.

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Chen, P. C., C. W. Chen, and W. L. Chiang. "GA-Based Fuzzy Sliding Mode Controller for Nonlinear Systems." Mathematical Problems in Engineering 2008 (2008): 1–16. http://dx.doi.org/10.1155/2008/325859.

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Generally, the greatest difficulty encountered when designing a fuzzy sliding mode controller (FSMC) or an adaptive fuzzy sliding mode controller (AFSMC) capable of rapidly and efficiently controlling complex and nonlinear systems is how to select the most appropriate initial values for the parameter vector. In this paper, we describe a method of stability analysis for a GA-based reference adaptive fuzzy sliding model controller capable of handling these types of problems for a nonlinear system. First, we approximate and describe an uncertain and nonlinear plant for the tracking of a reference trajectory via a fuzzy model incorporating fuzzy logic control rules. Next, the initial values of the consequent parameter vector are decided via a genetic algorithm. After this, an adaptive fuzzy sliding model controller, designed to simultaneously stabilize and control the system, is derived. The stability of the nonlinear system is ensured by the derivation of the stability criterion based uponLyapunov's direct method. Finally, an example, a numerical simulation, is provided to demonstrate the control methodology.

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Chang, En Chih, Chieh Chuan Feng, Hung Liang Cheng, and Chun An Cheng. "Design and Implementation of a Fuzzy Time-Varying Sliding Regime Controlled UPS Systems." Applied Mechanics and Materials 284-287 (January 2013): 2494–97. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2494.

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In this paper, a robust tracking fuzzy controller using time-varying sliding regime is proposed for UPS systems. The controller combines the merits of sliding regime control, fuzzy logic control. Time-varying sliding surface is used to ensure the existence of sliding regime from an initial state, while the conventional sliding surface can not achieve the robust performance against disturbances before the sliding regime occurs. Fuzzy technique is applied to select a dominated sliding surface when errors lie in the second and the fourth quadrants and shift a predetermined sliding surface when errors lie in the first and the third quadrants in order to achieve the propose of fast and robust tracking. Using the proposed method, the magnitude of the control input signals and undesirable chattering phenomenon are remarkable lessened and simultaneously improves the robustness of the UPS system. Simulation results are presented, showing a good dynamic performance of the proposed method.

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Duranay, Z. B., H. Guldemir, and S. Tuncer. "Fuzzy Sliding Mode Control of DC-DC Boost Converter." Engineering, Technology & Applied Science Research 8, no. 3 (2018): 3054–59. http://dx.doi.org/10.48084/etasr.2116.

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A sliding mode fuzzy control method which combines sliding mode and fuzzy logic control for DC-DC boost converter is designed to achieve robustness and better performance. A fuzzy sliding mode controller in which sliding surface whose reference is obtained from the output of the outer voltage loop is used to control the inductor current. A linear PI controller is used for the outer voltage loop. The control system is simulated using Matlab/Simulink. The simulation results are presented for input voltage and load variations. Simulated results are given to show the effectiveness of the control system.

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Elangovan, Subashini, and Peng-Yung Woo. "Adaptive fuzzy sliding control for a three-link passive robotic manipulator." Robotica 23, no. 5 (2005): 635–44. http://dx.doi.org/10.1017/s0263574704001079.

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An adaptive fuzzy sliding control scheme is proposed to control a passive robotic manipulator. The motivation for the design of the adaptive fuzzy sliding controller is to eliminate the chattering and the requirement of pre-knowledge on bounds of error associated with the conventional sliding control. The stability and convergence of the adaptive fuzzy sliding controller is proven both theoretically and practically by simulations. A three-link passive manipulator model with two unactuated joints is derived to be used in the simulations. Simulation results demonstrate that the proposed system is robust against structured and unstructured uncertainties.

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Duranay, Zeynep Bala, Hanifi Guldemir, and Servet Tuncer. "Fuzzy Sliding Mode Control of DC-DC Boost Converter." Engineering, Technology & Applied Science Research 8, no. 3 (2018): 3054–59. https://doi.org/10.5281/zenodo.1400765.

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Chen, Liping, Haoyu Liu, Ze Cao, et al. "Speed Control of Permanent Magnet Synchronous Motor Based on Variable Fractional-Order Fuzzy Sliding Mode Controller." Actuators 14, no. 1 (2025): 38. https://doi.org/10.3390/act14010038.

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A variable fractional-order (VFO) fuzzy sliding mode controller is designed to control the speed of a permanent magnet synchronous motor (PMSM). First, a VFO sliding mode surface is established. Then, a VFO fuzzy sliding mode controller is designed, capable of suppressing the effects of parameter uncertainties and disturbances to achieve precise PMSM speed control. The global stability and finite time convergence of the controlled system state are demonstrated using Lyapunov stability theory. The numerical and experimental results validate the effectiveness of the controller, showing better immunity to disturbances and a smaller overshoot compared to PID and fixed-order fuzzy sliding mode controllers.

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Boumediène, Allaoua, and Laoufi Abdellah. "A Novel Sliding Mode Fuzzy Control based on SVM for Electric Vehicles Propulsion System." ECTI Transactions on Electrical Engineering, Electronics, and Communications 10, no. 2 (2012): 153–63. http://dx.doi.org/10.37936/ecti-eec.2012102.170386.

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This paper presents a new sliding mode fuzzy control (SMFC) scheme for torque control of induction motors of the electric vehicles propulsion system. The control principle is based on sliding mode fuzzy control combined with space vector modulation (SVM) technique. The sliding mode fuzzy control contributes to the robustness of induction motor wheel drives of the electric vehicle propulsion system, and the space vector modulation improves the torque, flux, and current steady-state performance by reducing the ripple. The Lyapunov direct method reinforced with fuzzy logic is used to ensure the reaching and sustaining of sliding mode and stability of the control system. The performance of the proposed system is compared with those of conventional sliding mode controller and classical PI controller. Finally, computer simulation results verify the validity of the proposed method and show that the proposed control scheme provides robust dynamic characteristics with low torque ripple.

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Monisha, Pathak, and Mrinal Buragohain Dr. "Adaptive Sliding Mode Controller for Robotic Manipulator Tracking Control with Fuzzy Design." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 6 (2022): 164–67. https://doi.org/10.35940/ijeat.F3755.0811622.

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<strong>Abstract: </strong>This paper introduces an adaptive sliding mode controller design based on fuzzy compensation for efficient robotic manipulator tracking control. This work introduces design of Adaptive Fuzzy Controller based on sliding control principles for Robotic Manipulators. In the work, an adaptive fuzzy sliding mode control algorithm is proposed for tracking control of robot manipulators. The fuzzy system uses a set of fuzzy rules, the parameters of which are modified in real-time by adaptive laws, to approximate unknown nonlinearities. This makes it easier to direct the nonlinear system's output to follow a specific trajectory. An adaptive control algorithm based on the adaptive fuzzy model is created using the Lyapunov approach. Both the chattering and the stable performance are assured.

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Mien, Van, Hee-Jun Kang, and Kyoo-Sik Shin. "Adaptive fuzzy quasi-continuous high-order sliding mode controller for output feedback tracking control of robot manipulators." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 1 (2013): 90–107. http://dx.doi.org/10.1177/0954406213490465.

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This article develops a new output feedback tracking control scheme for uncertain robot manipulators with only position measurements. Unlike the conventional sliding mode controller, a quasi-continuous second-order sliding mode controller (QC2C) is first designed. Although the QC2C produces continuous control and less chattering than conventional sliding mode and other high-order sliding mode controllers, chattering exists when the sliding manifold is defined by the equation [Formula: see text]. To alleviate the chattering, an adaptive fuzzy QC2C (FQC2C) is designed, in which the fuzzy system is used to adaptively tune the sliding mode controller gain. Furthermore, in order to eliminate chattering and achieve higher tracking accuracy, quasi-continuous third-order sliding mode controller (QC3C) and fuzzy QC3C (FQC3C) are investigated. These controllers incorporate a super-twisting second-order sliding mode observer for estimating the joint velocities, and a robust exact differentiator to estimate the sliding manifold derivative; therefore, the velocity measurement is not required. Finally, computer simulation results for a PUMA560 industrial robot are also shown to verify the effectiveness of the proposed strategy.

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Yeh, Ken, and Wei-Ling Chiang. "Application of Adaptive Fuzzy Sliding Mode Control for Bridges." Journal of Advanced Computational Intelligence and Intelligent Informatics 5, no. 3 (2001): 172–79. http://dx.doi.org/10.20965/jaciii.2001.p0172.

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This paper applies adaptive fuzzy sliding mode control of structural control for bridges. Combining fuzzy control and sliding mode control can reduce the complexity of fuzzy rule base. It also ensures stability and robustness. The Lyapunov theory is used to develop adaptive law. adaptive sliding mode control is applied to 3 types of bridge, with LRB (Lead Rubber Bearing), sliding bearing isolators and no isolation device. The condition of stiffness uncertainty and time delay is used to show the robustness of this algorithm. The effectiveness of this algorithm is demonstrated by simulation results for a long period and a wide-pass white noise artificial earthquake. All these simulations are shown that adaptive sliding mode control can achieve satisfactory results in the application of structural control for bridges.

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Huang, Chong-Li, Tao Wang, Meng Li, and Yang Yu. "Sliding Mode Control of Servo Feed System Based on Fuzzy Reaching Law." Applied Sciences 13, no. 10 (2023): 6086. http://dx.doi.org/10.3390/app13106086.

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An adaptive sliding mode control method based on the fuzzy exponential convergence law is proposed to solve the jitter problem caused by the sliding mode control of the servo-feed system and to improve the tracking performance of the system. The design of fuzzy rules for adaptive adjustment of convergence law parameters in sliding mode control improves the convergence speed of the sliding mode function, eliminates unknown disturbances in the system, and weakens the chattering of the system. The proposed method is simulated and experimentally verified by a parallel mobile platform. The results show that the sliding mode control method based on the fuzzy convergence law has strong disturbance suppression capability, high position tracking accuracy, and effective chattering suppression, and the maximum tracking error is reduced by 43.1% and 31.5%, respectively, compared with PID control and exponential sliding mode control.

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Watheq El-Kharashi, M., and M. A. Sheirah. "Tracking Fuzzy Sliding Mode Control." IFAC Proceedings Volumes 30, no. 6 (1997): 729–35. http://dx.doi.org/10.1016/s1474-6670(17)43452-5.

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