Backstepping Sliding Mode Controller Improved with Interval Type-2 Fuzzy Logic Applied to the Dual Star Induction Motor-Reference-Cited by-同舟云学术

Backstepping Sliding Mode Controller Improved with Interval Type-2 Fuzzy Logic Applied to the Dual Star Induction Motor

Published:2019-06 Issue:02 Volume:18 Page:1950012
ISSN:1469-0268
Container-title:International Journal of Computational Intelligence and Applications
language:en
Short-container-title:Int. J. Comp. Intel. Appl.

Author:

Rahali Hilal¹,Zeghlache Samir²,Benyettou Loutfi¹,Benalia Leila³

Affiliation:

1. Laboratoire de Genie Élecrtique, Department of Electrical Engineering, Faculty of Technology, University Mohamed Boudiaf of M’sila, BP 166, Ichbilia 28000, Algeria

2. Laboratoire d’analyse des Signaux et Systèmes, Department of Electrical Engineering, Faculty of Technology, University Mohamed Boudiaf of M’sila, BP 166, Ichbilia 28000, Algeria

3. Laboratoire de Genie Elecrtique, Department of Electrical Engineering, Batna-2 University, Street Chahid Med, El Hadi Boukhlouf, Algeria

Abstract

This paper proposes Interval type-2 Fuzzy sliding mode controller based on Backstepping (IT2FBSMC), to control the speed of a dual star induction machine (DSIM), in order to get a robust performance machine. An appropriate control strategy based on the coupling of three methods (Backstepping, sliding mode and type-2 Fuzzy controller) is used to build a robust controller used to approximate the discontinuous control eliminating the chattering phenomenon and guaranteeing the stability of the machine. Moreover, it forces the rotor angular speed to follow a desired reference signal. The simulation results obtained using Matlab/Simulink behavior are presented and discussed. The obtained results show that the controller can greatly alleviate the chattering effect and enhance the robustness of control systems with high accuracy.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Theoretical Computer Science,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S1469026819500123

Reference34 articles.

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