ADAPTIVE SELF-TUNING FUZZY BACKSTEPPING CONTROLLER FOR THE CONTROL OF ELECTRIC VEHICLE WITH TWO-MOTOR-WHEEL DRIVE

In this work we proposed a backstepping controller adapted by a fuzzy inference for the control of the electric vehicle with two motor wheel drives. This proposed combine controller has significantly improved control performance compared to conventional backstepping. The different speeds of the wh...

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Bibliographic Details
Main Authors: Ahmed LAGUIDI, Abdeldjebar HAZZAB, Othmane BOUGHAZI, Mohamed HABBAB
Format: Article
Language:English
Published: Technical University of Kosice 2019-06-01
Series:Acta Electrotechnica et Informatica
Subjects:
Online Access:http://www.aei.tuke.sk/papers/2019/2/06_Laguidi.pdf
Description
Summary:In this work we proposed a backstepping controller adapted by a fuzzy inference for the control of the electric vehicle with two motor wheel drives. This proposed combine controller has significantly improved control performance compared to conventional backstepping. The different speeds of the wheels are ensured by the electronic differential, this driving process makes it possible to direct each driving wheel to any curve separately. Modeling and simulation are performed using the Matlab / Simulink tool to study the performance of the proposed controller.
ISSN:1335-8243
1338-3957