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.

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 The adaptive fuzzy designed PID controller using wavelet network

2009 ◽  
Vol 6 (2) ◽  
pp. 141-163 ◽  
Author(s):  
Emary El ◽  
Walid Emar ◽  
Musbah Aqel
Keyword(s):  
Fuzzy Logic ◽  
Adaptive Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Expert Knowledge ◽  
Wavelet Network ◽  
Fuzzy Adaptive Control ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
Fuzzy Adaptive

During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of the fuzzy set theory, especially in the realm of the industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the inputoutput relations i.e., accurate mathematical models. The fuzzy logic controller based on wavelet network provides a means of converting a linguistic control strategy based on expert knowledge into an automatic strategy. In the available literature, one can find scores of papers on fuzzy logic based controllers or fuzzy adaptation of PID controllers. However, relatively less number of papers is found on fuzzy adaptive control, which is not surprising since fuzzy adaptive control is relatively new tool in control engineering. In this paper, fuzzy adaptive PID controller with wavelet network is discussed in subsequent sections with simulations. An adaptive neural network structure was proposed. This structure was used to replace the linearization feedback of a second order system (plant, process). Also, in this paper, it is proposed that the controller be tuned using Adaptive fuzzy controller where Adaptive fuzzy controller is a stochastic global search method that emulates the process of natural evolution. It is shown that Adaptive fuzzy controller be capable of locating high performance areas in complex domains without experiencing the difficulties associated with high dimensionality or false optima as may occur with gradient decent techniques. From the output results, it was shown that Adaptive fuzzy controller gave fast convergence for the nonparametric function under consideration in comparison with conventional Neural Wavelet Network (NWN).

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.

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