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...
Main Authors: | , , , |
---|---|
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 |
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 |