scholarly journals Variable universe adaptive fuzzy sliding mode projective synchronization of hyperjerk system based on disturbance observer

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Baojie Zhang ◽  
Yuming Feng ◽  
Hongyan Yu ◽  
Xianxiu Zhang
Keyword(s):  
Disturbance Observer ◽  
Sliding Mode ◽  
Adaptive Fuzzy Control ◽  
Projective Synchronization ◽  
Time Varying ◽  
Adaptive Fuzzy ◽  
Variable Universe ◽  
Adaptive Fuzzy Sliding Mode ◽  
Fuzzy Sliding Mode ◽  
Hyperjerk System

AbstractIn this paper, a sliding mode projective synchronization strategy based on disturbance observer and fuzzy system is presented to implement projective synchronization of hyperjerk system with low time-varying disturbance and white noise. Theoretical analysis and numerical calculation show that the disturbance observer can approach the low time-varying disturbance very well. The application of disturbance observer reduces the chattering of the controller. Variable universe adaptive fuzzy control (VUAFC) method is utilized to further reduce the chattering phenomenon. The simulation results demonstrate the effectiveness of the proposed controller.

scholarly journals Direct Adaptive Fuzzy Sliding Mode Control with Variable Universe Fuzzy Switching Term for a Class of MIMO Nonlinear Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
Guo Haigang ◽  
Li Hongxing ◽  
Zhao Weijing ◽  
Song Zhankui
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Fuzzy Sliding Mode Control ◽  
Adaptive Fuzzy ◽  
Variable Universe ◽  
Mode Control ◽  
Adaptive Fuzzy Sliding Mode ◽  
Control Schemes ◽  
Equivalent Control ◽  
Fuzzy Sliding Mode

Combining adaptive fuzzy sliding mode control with fuzzy or variable universe fuzzy switching technique, this study develops two novel direct adaptive schemes for a class of MIMO nonlinear systems with uncertainties and external disturbances. The proposed control schemes consist of fuzzy equivalent control terms, fuzzy switching control terms (in scheme one) or variable universe fuzzy switching control terms (in scheme two), and compensation control terms. The compensation control terms are used to relax the assumption on fuzzy approximation error. Based on Lyapunov stability theory, the parameters update laws are adaptively tuned online and the global asymptotic stability of the closed-loop system can be guaranteed. The major contribution of this study is to develop a novel framework for designing direct adaptive fuzzy sliding mode control scheme facing model uncertainties and external disturbances. The derived schemes can effectively solve the chattering problem and the equivalent control calculation in that environment. Simulation results performed on a two-link robotic manipulator demonstrate the feasibility of the proposed control schemes.

A New Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear Systems

2011 ◽  
Vol 327 ◽  
pp. 12-16 ◽  
Author(s):  
Yi Min Li ◽  
Yang Cai
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
External Disturbance ◽  
Adaptive Fuzzy Control ◽  
Fuzzy Sliding Mode Control ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Adaptive Fuzzy Sliding Mode ◽  
Fuzzy Sliding Mode

A novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed in this paper based on the integration of Sliding Mode Control (SMC) and Adaptive Fuzzy Control (AFC).To get rid of the chattering and the bound of uncertainty, an adaptive fuzzy logic system design method introduced for the switching gain is proposed. The main advantage of our proposed methodology is that the nonlinear systems are unknown and no knowledge of the bounds of parameters, uncertainties and external disturbance are not required in advance.the design for the switching gain which will relax the requirement for the bound of uncertainty can ensure stability. The simulation results illustrate the effectiveness of the method.

scholarly journals An adaptive fuzzy sliding mode controller for the depth control of an underactuated underwater vehicle

2019 ◽  
Vol 16 (2) ◽  
pp. 172988141984021
Author(s):  
Yuan Chen ◽  
Yinpo Yan ◽  
Kangling Wang ◽  
Shuqi Liu
Keyword(s):  
Fuzzy Control ◽  
Sliding Mode ◽  
Adaptive Fuzzy Control ◽  
Underwater Vehicle ◽  
Stability And Convergence ◽  
Sliding Mode Controller ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy Sliding Mode ◽  
Depth Control ◽  
Fuzzy Sliding Mode

An adaptive fuzzy sliding mode controller is proposed for the depth control of an underactuated underwater vehicle based on the state-dependent Riccati equation. An adaptive fuzzy control algorithm is embedded into the sliding mode controller to solve the buffering and mismatched uncertain problems in the robust sliding mode variable structure controller, where an auxiliary fuzzy control unit is designed to automatically adjust the scale factor of the main fuzzy controller output. Based on Lyapunov stability theory and final value bounded theorem, the stability and convergence properties of the closed-loop system are demonstrated. Numerical simulations are carried out to validate the effectiveness of the proposed controller.

scholarly journals Adaptive fuzzy sliding mode based MPPT controller for a photovoltaic water pumping system

2019 ◽  
Vol 10 (1) ◽  
pp. 414
Author(s):  
Sabah Miqoi ◽  
Abdelghani El Ougli ◽  
Belkassem Tidhaf
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Adaptive Fuzzy Control ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Photovoltaic Panel ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Adaptive Fuzzy Sliding Mode ◽  
Fuzzy Sliding Mode

<span>The applications of photovoltaic energy are steadily increasing. However, the output power of a photovoltaic system is influenced by the meteorological conditions (temperature and irradiation), which can affect the production and efficiency of the photovoltaic panel energy. So to ensure that the photovoltaic panel produces its maximum power possible at any time and regardless of the external conditions, we use the equipment called MPPT (maximum power point tracker). Sliding mode control is recognized by its stability and robustness and widely used in non-linear systems but represents a disadvantage because of the chattering phenomena. So in order to overcome this problem and improve this control, we opted to add to it the adaptive fuzzy control which will adapt the switching gain. This controller is named AFSMC (adaptive fuzzy sliding mode control) and will be compared the sliding mode controller SMC in order to see the difference and to the P&amp;O (perturb &amp; observe) method to validate this controller. Our system consists of a photovoltaic panel a DC-DC boost converter and a centrifugal pump with a DC motor. All simulations are carried out under MATLAB/SIMULINK and the extracted results show the efficiency of the AFSMC controller and confirm that the new methods have improved energy efficiency and production</span>

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