Abstract

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.

Highlights

  • The asynchronous machine with double feed (DFIM) is very popular since it profit from certain advantages compared to all the other types at variable speed, sound use in the chains of electromechanical conversion as an aero generator or engine knew a spectacular growth during last years

  • In order to maintain consistent execution in the presence of true uncertainties, the use of adaptive control is,in most cases, inevitable.Fuzzy adaptive control has been the subject of intensive research during the last decade (Minth, et al, 2009; Annis, et al, 2004; Chen, et al, 1999;Chih, et al, 2004)

  • We proposed a new adaptive fuzzy control strategy based on the theory of Lyapunov to determine the gains of Ke and Kdce, which can be applied for a large class of non-linear systems

Read more

Summary

Introduction

The asynchronous machine with double feed (DFIM) is very popular since it profit from certain advantages compared to all the other types at variable speed, sound use in the chains of electromechanical conversion as an aero generator or engine knew a spectacular growth during last years. It converter of energy used in order to rectify-undulate the alternating currents of the rotor has a fractional nominal output nominal of that of the generator, which reduces its cost by report/ratio with concurrent topologies(Saidi and Naceri, 2016). Treatment in this paper adaptive fuzzy control based on stability theory to recalculate real-time PI-fuzzy gains.we will develop a new order strategy which is: adaptive fuzzy control based on the theory of Lyapunov

Adaptive fuzzy control based on Lyapunov theory
Fuzzification
Inference table
Function of Lyapunov candidate
Application for doubly fed induction machine
Simulation results
Findings
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.