Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems

2016 ◽  
Vol 25 (2) ◽  
pp. 209-220 ◽  
Author(s):  
Xiaoyu Zhang
Keyword(s):  
Boundary Layer ◽  
Fuzzy Logic ◽  
Nonlinear Systems ◽  
Sliding Mode Control ◽  
Fuzzy Logic Control ◽  
Sliding Mode ◽  
Mode Control ◽  
Logic Control ◽  
Chattering Free ◽  
Discrete Nonlinear Systems

AbstractMore serious chattering emerges in discrete systems of sliding mode control. The paper presents a sliding mode-like fuzzy logic control design, which eliminates the chattering, for a class of discrete nonlinear systems with multiple variables. First, the boundary layer is self-tuned on-line, and then, the chattering free is obtained. Consequently, the fuzzy logic control (FLC) is designed to approximate the sliding mode control (SMC) with boundary layer self-tuning. Finally, the performance of the robustness, chattering free, and adaption are verified by the simulation results.

Fuzzy Simplex-Type Sliding-Mode Control

2013 ◽  
Vol 284-287 ◽  
pp. 2244-2248
Author(s):  
Ta Tau Chen ◽  
Sung Chun Kuo
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Simplex Method ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Mode Control ◽  
Logic Control ◽  
Chattering Phenomenon ◽  
System States

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.

scholarly journals A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives

2013 ◽  
Vol 10 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Ismail Bendaas ◽  
Farid Naceri
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Induction Motor ◽  
Fuzzy Logic Control ◽  
Sliding Mode ◽  
Torque Ripple ◽  
Operating Conditions ◽  
New Method ◽  
Mode Control ◽  
Logic Control

This paper presents new method toward the design of hybrid control with sliding-mode (SMC) plus fuzzy logic control (FLC) for induction motors. As the variations of both control system parameters and operating conditions occur, the conventional control methods may not be satisfied further. Sliding mode control is robust with respect to both induction motor parameter variations and external disturbances. By embedding a fuzzy logic control into the sliding mode control, the chattering (torque-ripple) problem with varying parameters, which are the main disadvantage in sliding-mode control, can be suppressed, Simulation results of the proposed control theme present good dynamic and steady-state performances as compared to the classical SMC from aspects for torque-ripple minimization, the quick dynamic torque response and robustness to disturbance and variation of parameters.

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