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Chattering free adaptive fuzzy terminal sliding mode control for second order nonlinear system

控制理论与应用（英文版） 2006年第4期4卷 385-391页

作者： Jinkun LIU Fuchun SUN School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100083 China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084China

A novel fuzzy terminal sliding mode control （FTSMC） scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By using a function-augmented sliding hyperplane, it is guaranteed that the output tracking error converges to zero in finite time which can be set arbitrarily. The proposed scheme eliminates reaching phase problem, so that the closed-loop system always shows invariance property to parameter uncertainties. fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach.

关键词： adaptive fuzzy control Terminal sliding mode control Nonlinear system

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Optimization of adaptive fuzzy controller for Maximum Power Point Tracking Using Whale Algorithm

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Computers, Materials & Continua 2022年第12期73卷 5041-5061页

作者： Mehrdad Ahmadi Kamarposhti Hassan Shokouhandeh Ilhami Colak Kei Eguchi Department of Electrical Engineering Jouybar BranchIslamic Azad UniversityJouybarIran Department of Electrical Engineering Semnan UniversitySemnanIran Department of Electrical and Electronics Engineering Faculty of Engineering and ArchitecturesNisantasi UniversityIstanbulTurkey Department of Information Electronics Fukuoka Institute of TechnologyFukuokaJapan

The advantage of fuzzy controllers in working with inaccurate and nonlinear inputs is that there is no need for an accurate mathematical model and fast convergence and minimal fluctuations in the maximum power point *** capability of online fuzzy tracking systems is maximum power,resistance to radiation and temperature changes,and no need for external sensors to measure radiation intensity and ***,the most important issue is the constant changes in the amount of sunlight that cause the maximum power point to be constantly *** controller used in the maximum power point tracking(MPPT)circuit must be able to adapt to the new radiation ***,in this paper,to more accurately track the maximumpower point of the solar system and receive more electrical power at its output,an adaptive fuzzy control was proposed,the parameters of which are optimized by the whale *** studies have repeated under different irradiation conditions and the proposed controller performance has been compared with perturb and observe algorithm(P&O)method,which is a practical and high-performance *** evaluate the performance of the proposed algorithm,the particle swarm algorithm optimized the adaptive fuzzy *** simulation results show that the adaptive fuzzy control system performs better than the P&O tracking *** accuracy and consequently more production power at the output of the solar panel is one of the salient features of the proposed control method,which distinguishes it from other *** the other hand,the adaptive fuzzy controller optimized by the whale algorithm has been able to perform relatively better than the controller designed by the particle swarm algorithm,which confirms the higher accuracy of the proposed algorithm.

关键词： Maximum power tracking photovoltaic system adaptive fuzzy control whale optimization algorithm particle swarm optimization

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adaptive fuzzy Coordinated Tracking control of Networked Unknown Lagrange Systems

Adaptive Fuzzy Coordinated Tracking Control of Networked Unk...

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第26届中国控制与决策会议

作者： Chen Gang Feng E Ning Lin Qing Ling Rui College of Automation Chongqing University

ISBN: (纸本)9781479937097

This paper investigates the cooperative tracking control problem for networked uncertain Lagrange systems on digraphs. By using the universal approximation capability of fuzzy logic systems, a distributed adaptive fuzzy tracking control protocol is proposed. Based on graph theory and Lyapunov theory, the convergence analysis for the proposed algorithm is provided. The development in this paper is suitable for the general directed communication topology, which is only required to have a spanning tree. Experimental results of distributed adaptive fuzzy control are demonstrated on a multi-robot platform to validate the effectiveness of the proposed algorithms.

关键词： adaptive fuzzy control Tracking control Distributed control Cooperative control

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adaptive fuzzy Sliding Mode control for Decoupled Uncertain Underactuated Systems

Adaptive Fuzzy Sliding Mode Control for Decoupled Uncertain ...

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第三十九届中国控制会议

作者： ZHOU Zhen FU Lei XIAO Jinzhuang College of Electronic Information Engineering Hebei University

In this work, a decoupled adaptive fuzzy sliding mode control method for a class of underactuated systems with unknown terms is proposed. Firstly, the underactuated system is decoupled into two second-order subsystems, which are referred to the actuated and the underactuated parts, and the sliding manifold of the underactuated subsystem is implemented into the actuated subsystem through an inverse-tangent saturation function. Secondly, a sliding mode controller by decoupled method is designed. Then an adaptive fuzzy algorithm is presented to estimate the unknown terms of the system, moreover, the estimated upper bound of the fuzzy modeling error are solved by the adaptive algorithm. Finally, the stability analysis of th e closed-loop system is verified by the Lyapunov stability theory. Simulation results on the overhead crane system are given to show the effectiveness of the proposed method.

关键词： Underactuated systems Decoupled control adaptive fuzzy control Inverse-tangent saturation function Sliding mode control

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Two Indirect adaptive fuzzy Sliding Mode control of Three-Phase Active Power Filter Under Different Conditions

Two Indirect Adaptive Fuzzy Sliding Mode Control of Three-Ph...

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第30届中国控制与决策会议

作者： Shixi Hou Juntao Fei Yundi Chu College of IOT Engineering Hohai University

In this paper,two indirect adaptive fuzzy sliding mode control methods are proposed for the current tracking control of active power filter in view of the influence of the parameter perturbation and the unknown *** the first scheme,a fuzzy system is used to approximate the unknown dynamics in order to eliminate the dependence on the prior knowledge,and another fuzzy system is used to replace the switching control term to reduce the chattering *** the second scheme,based on feedback linearization idea,sliding mode controller for active power filter is designed *** the fuzzy systems are used to approximate unknown nonlinear functions and the lumped uncertainty which weaken the dependence on mathematical model of the system,effectively improving the system *** the two schemes,the compensation control term is designed based on the fuzzy approximation error estimation,which ensures the tracking performance of the closed loop *** studies in the MATLAB/SimPower Systems Toolbox demonstrate that the proposed control methods offer a good behavior in both steady state and transient operation during balanced and unbalanced load.

关键词： Active power filter adaptive fuzzy control sliding mode control feedback linearization

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Direct adaptive fuzzy Sliding Mode control of Arc Furnace Electrode Regulator System

Direct Adaptive Fuzzy Sliding Mode Control of Arc Furnace El...

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2009中国控制与决策会议

作者： Guan Ping Li Ji-chao Liu Xiao-he School of Automation,Beijing Information Science and Technology University,Beijing,100192,China

In this paper,an adaptive fuzzy sliding mode controller is proposed for electrode control problems of the arc furnace electrode regulator system,and the detailed design procedure of the fuzzy sliding mode control system is *** equivalent control of sliding mode control is approximated by the adaptive fuzzy control,in order to make the equivalent controller independent of the object’s accurate mathematic *** reject disturbance and reduce chattering,a fuzzy system is designed to tune the control *** results of simulation show that the proposed algorithm of control possesses strong dynamic response,stable control accuracy and robust to structure parameter uncertainties and external disturbance.

关键词： adaptive fuzzy control Sliding mode control Arc furnace Electrode regulator system

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adaptive fuzzy Sliding Mode control for Active Front Steering System

Adaptive Fuzzy Sliding Mode Control for Active Front Steerin...

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第三十九届中国控制会议

作者： Tian Tian Liandi Fang Shihong Ding Wei Xing Zheng School of Electrical and Information Engineering Jiangsu University High-tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province College of Mathematics and Computer Science Tongling University School of Computing Engineering and Mathematics Western Sydney University

In order to alleviate the adverse effects of uncertainty in the active front steering（AFS） system, a new type of observer is designed in this paper that can simultaneously estimate the sideslip angle and disturbance, which provides the controller with accurate compensation and simplifies the system model. In addition, an active front steering controller based on adaptive fuzzy sliding mode（AFSM） is proposed, which uses adaptive algorithms to adjust and update fuzzy system parameters in real *** stability of the closed-loop AFS system based on the Lyapunov stability theory is analyzed. Compared with traditional PI control, the simulation results show the effectiveness of the proposed AFSM control method.

关键词： AFS adaptive fuzzy control sliding mode control disturbance observer

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Direct adaptive fuzzy Sliding Mode control for Multi-link Robots

Direct Adaptive Fuzzy Sliding Mode Control for Multi-link Ro...

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第24届中国控制与决策会议

作者： Mu Xiaojiang, Ge Li Shenzhen institute of information technology, Shenzhen, 518029

A direct adaptive fuzzy sliding mode controller is presented for trajectory tracking control of multi-link robots with model errors and uncertain disturbances. This approach adopts a global sliding mode manifold which eliminates reaching mode phase of normal sliding mode manifold and enforce the controlled system robustness. An adaptive fuzzy controller is designed to learn the robot model error and uncertain disturbances. So the control system can automatically track the maximum limit of model errors and disturbances, and reduces chattering of the controller. Prediction estimation for model errors and disturbances of the control system is not needed too. Moreover, the system stability is proved by Lyapunov principle. Simulation results verify the validity of the control scheme.

关键词： adaptive fuzzy control model error chattering sliding mode manifold

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adaptive fuzzy Generalized Predictive control for a Class of Unknown Parameters Multivariable Linear System

Adaptive Fuzzy Generalized Predictive Control for a Class of...

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第24届中国控制与决策会议

作者： Wuxi Shi, Yingxin Ma, Yuchan Chen and Ziguang Guo the School of Electrical Engineering and Automation, Tianjin Polytechnic University, tianjin, 300160,China

An adaptive fuzzy generalized predictive control scheme for a class of multivariable linear systems with unknown parameters is presented. With this scheme, the vector composed of fuzzy logic systems is used to design predictive controller directly, and the unknown vector in controller and the estimated value of approximation error are adjusted by time-varying adaptation laws. It is proved that the proposed method can make the tracking error converge to a neighborhood of the origin.

关键词： multivariable linear system generalized predictive control adaptive fuzzy control stability analysis

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adaptive Asymptotic Tracking control for Stochastic Nonlinear Systems with Unknown Backlash-Like Hysteresis

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Journal of Systems Science & Complexity 2022年第5期35卷 1824-1838页

作者： WANG Le SUN Wei WU Yuqiang School of Mathematics Science Liaocheng UniversityLiaocheng 252000China School of Engineering Qufu Normal UniversityRizhao 276826China

In this study,an adaptive asymptotic tracking control problem is considered for stochastic nonlinear systems with unknown backlash-like *** utilizing backstepping technology and bound estimation approach,an adaptive asymptotic tracking control scheme is designed,where fuzzy systems are applied to approximate unknown function terms,the effect of hysteresis and stochastic disturbances is compensated *** proposed scheme ensures that the tracking error can asymptotically converge to zero in probability and all signals of the closed-loop system are bounded almost ***,the effectiveness of the control scheme is verified by giving a simulation example.

关键词： adaptive fuzzy control asymptotic tracking stochastic nonlinear systems unknown backlash-like hysteresis

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