Fuzzy-enhanced robust fault-tolerant control of IFOC motor with matched and mismatched disturbances

Author:

Teguia Jean Blaise1,Kammogne Alain Soup Tewa1,Ganmene Stella Germaine Tsakoue1,Siewe Martin Siewe2,Kenne Godpromesse3

Affiliation:

1. Laboratory of Condensed Matter, Electronics and Signal Processing (LAMACETS), Department of Physic, Faculty of Sciences, University of Dschang, P. O. Box 67, Dschang, Cameroon

2. Laboratory of Mechanics, Materials and Structures, Faculty of Science, Department of Physics, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon

3. Laboratoire d'Automatique et Informatique Apliqueé (LAIA), IUT-FV Bandjoun, University of Dschang, Dschang, Cameroon

Abstract

<p style='text-indent:20px;'>This paper focuses on the dynamical analysis of the permanent magnet asynchronous motor with the aim of subsequently designing effective robust control laws for the indirect field-oriented control (IFOC) devices. We first perform some tasks which demonstrate the existence of chaos phenomenon in the IFOC using relevant indicators such as phase portraits, bifurcations diagrams and Lyapunov exponents. Chaotic signature and some striking transitions are revealed such as period-doubling, torus, period-adding and chaos when an accessible parameter of the IFOC motor is changed. More interestingly, a certain range of the parameter space corresponds to the transient chaos. This behavior was not reported previously and can be considered as an enriching contribution. Secondly, due to the great interest to reduce the upper bound of uncertainties and interference, conventional sliding mode control (SMC) has been abundantly investigated for fault-tolerant control (FTC) systems. However, this approach presents several drawbacks in terms of overshoot, less robustness, transient state error, large chattering and speed of convergence that limit its use for industrial applications. For these reasons, the integral sliding mode control (ISMC) and the fuzzy sliding mode control (FISMC) are proposed to keep the IFOC motor in the regular operation zone. The optimal feedback gains and a sufficient condition are proposed for the stability of the overall IFOC system is drawn based on the linear quadratic regulator (LQR) method. To highlight the effectiveness and applicability of the proposed control scheme, numerical simulation results are presented. This analysis allows us a great knowledge of engineers for interpreting the operation of the IFOC motor. To highlight the effectiveness and the applicability of the proposed control scheme, numerical simulations results are presented and clearly demonstrated the feasibility of these techniques.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Artificial Intelligence,Computational Mathematics,Computational Theory and Mathematics,Theoretical Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Fault Signal Reconstruction of Treadmill Equipment Based on Deep Neural Network;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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