Author/Authors
KRAA, O. Mohamed Kheider University - Laboratory of Energy Systems Modeling, Algeria , ABOUBOU, A. Mohamed Kheider University - Laboratory of Energy Systems Modeling, Algérie , AYAD, M.Y. Industrial Hybrid Vehicle Applications, France , SAADI, R. Mohamed Kheider University - Laboratory of Energy Systems Modeling, Algérie , GHODBANE, H. Mohamed Kheider University - Laboratory of Energy Systems Modeling, Algérie
Title Of Article
HYBRID MAXIMUM CONTROL STRUCTURE USING FUZZY LOGIC OF ELECTRIC VEHICLE
شماره ركورد
21622
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.
From Page
105
NaturalLanguageKeyword
Energetic Macroscopic Representation , Maximum Control Structure , Fuzzy Logic Control , Electric Vehicle , Control Traction
JournalTitle
Courrier Du Savoir
To Page
111
JournalTitle
Courrier Du Savoir
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