Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/1231
Title: HYBRID MAXIMUM CONTROL STRUCTURE USING FUZZY LOGIC OF ELECTRIC VEHICLE
Authors: O. KRAA
A. ABOUBOU
M.Y. AYAD
R.SAADI
H. GHODBANE
Keywords: Energetic Macroscopic Representation
Maximum Control Structure
Fuzzy Logic Control
Electric Vehicle
Control Traction
Issue Date: 11-Jan-2013
Abstract: This paper presents a Modelling of traction control system of an Electric Vehicle (EV) based on the Energetic Macroscopic Representation (EMR) and the Maximum Control Structure (MCS). This last is using Fuzzy Logic Control (FLC) to invert the EMR accumulation element for the control task. A developed combination of fuzzy control strategy with SMC combines the advantages of these two approaches and facilitates the inversion of the accumulation elements. In order to validate the simulation results, a comparison between the results obtained by MCS using IP controller which has already been developed by L2EP laboratory (Lille, France) and the presented MSC-FLC obtained by Matlab/Simulink software tool is included
URI: http://archives.univ-biskra.dz/handle/123456789/1231
ISSN: 1112 - 3338
Appears in Collections:CS N 17

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