scholarly journals ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY

2021 ◽  
Vol 25 (6) ◽  
pp. 40-55
Author(s):  
Qays J. Aljewari ◽  
Keyword(s):  
Adaptive Control ◽  
Fuzzy Control ◽  
Fuzzy System ◽  
Adaptive Fuzzy Control ◽  
Mathematical Concept ◽  
Main Role ◽  
Adaptive Fuzzy ◽  
Control Survey ◽  
The Stability

In this paper an adaptive fuzzy control concepts and survey are introduced. Starting with the global adaptive control towered the adaptive fuzzy control, the required concepts are explained. Some of the adaptive fuzzy control subjects are viewed as sequential steps with simplifying their views to enable the reader to get a fast and global idea with some details if it is necessary. Most of the stability considerations in the corresponding references are proved by using the lyapunov criteria, where the derivation is a mathematical concept with long steps. Therefore, it is mentioned without details, and for more information, the corresponding reference must be studied. It can be seen from this topic, that the main role of the fuzzy system in adaptive control is the system identification, controller construction and output predictor. The adaptive fuzzy control survey is presented at the end, so the reader can go along with the topics after he reviewed the necessary concepts.

scholarly journals Novel Approach to Direct Adaptive Fuzzy Control Applied to the Asynchronous Machine

2015 ◽  
Vol 55 ◽  
pp. 136-149
Author(s):  
M. Fodil ◽  
S. Barkat ◽  
B.D. Boukhetala
Keyword(s):  
Fuzzy Control ◽  
Fuzzy System ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Asynchronous Machine ◽  
Adaptive Fuzzy ◽  
Novel Approach ◽  
The Stability ◽  
Adaptation Law ◽  
Direct Adaptive Fuzzy Control

This paper presents an advanced direct adaptive fuzzy control for asynchronous machine which uses the theory of approximation and the theory of Lyapunov to establish a parametric adaptation law ensuring the stability and boundedness of all the control signals and the tracking error. In the direct approach, the fuzzy system is used to describe directly the control law and the parameters of the fuzzy system are directly adjusted to achieve the control objectives. Through the obtained results, stable direct adaptive fuzzy control generalized has proved a great effectiveness and a strong robustness in the presence of parameter variations and disturbances.

scholarly journals A Fuzzy Adaptive Control of Doubly Fed Induction Machine (DFIM)

2018 ◽  
Vol 208 ◽  
pp. 03008
Author(s):  
A. Saidi ◽  
Lamia Youb ◽  
Farid Naceri ◽  
Sebti Belkacem
Keyword(s):  
Adaptive Control ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Induction Machine ◽  
Fuzzy Adaptive Control ◽  
Adaptive Fuzzy ◽  
Doubly Fed Induction Machine ◽  
Doubly Fed ◽  
The Stability ◽  
Fuzzy Adaptive

In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.

Indirect adaptive fuzzy control of nonlinear descriptor systems

2020 ◽  
Vol 51 ◽  
pp. 30-38 ◽  
Author(s):  
Naeimeh Fakhr Shamloo ◽  
Ali Akbarzadeh Kalat ◽  
Luigi Chisci
Keyword(s):  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Descriptor Systems ◽  
Adaptive Fuzzy

scholarly journals Finite-Time Adaptive Fuzzy Control for Nonlinear Systems with Unknown Backlash-Like Hysteresis

2021 ◽  
Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu
Keyword(s):  
Fuzzy Control ◽  
Finite Time ◽  
Fuzzy Systems ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Finite Time Stability ◽  
Adaptive Fuzzy ◽  
Intermediate Variable ◽  
Control Scheme ◽  
Theoretical Results

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.

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