HYBRID MAXIMUM CONTROL STRUCTURE USING FUZZY LOGIC OF ELECTRIC VEHICLE

Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/1231

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DC Field	Value	Language
dc.contributor.author	O. KRAA	-
dc.contributor.author	A. ABOUBOU	-
dc.contributor.author	M.Y. AYAD	-
dc.contributor.author	R.SAADI	-
dc.contributor.author	H. GHODBANE	-
dc.date.accessioned	2013-01-11T16:19:28Z	-
dc.date.available	2013-01-11T16:19:28Z	-
dc.date.issued	2013-01-11	-
dc.identifier.issn	1112 - 3338	-
dc.identifier.uri	http://archives.univ-biskra.dz/handle/123456789/1231	-
dc.description.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	en_US
dc.language.iso	en	en_US
dc.subject	Energetic Macroscopic Representation	en_US
dc.subject	Maximum Control Structure	en_US
dc.subject	Fuzzy Logic Control	en_US
dc.subject	Electric Vehicle	en_US
dc.subject	Control Traction	en_US
dc.title	HYBRID MAXIMUM CONTROL STRUCTURE USING FUZZY LOGIC OF ELECTRIC VEHICLE	en_US
dc.type	Article	en_US
Appears in Collections:	CS N 17

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