Fuzzy Logic Based Integrated Control of Anti-Lock Brake System and Collision Avoidance System using CAN for Electric Vehicles

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/951

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DC Field	Value	Language
dc.contributor.author	Kumar K, S	-
dc.contributor.author	Verghese, L	-
dc.contributor.author	Mahapatra, K K	-
dc.date.accessioned	2009-07-30T02:25:47Z	-
dc.date.available	2009-07-30T02:25:47Z	-
dc.date.issued	2009	-
dc.identifier.citation	IEEE International Conference on Industrial Technology, 2009. ICIT 2009, Gippsland, VIC,10-13 Feb. 2009 Page(s):1 - 5	en
dc.identifier.uri	http://dx.doi.org/10.1109/ICIT.2009.4939720	-
dc.identifier.uri	http://hdl.handle.net/2080/951	-
dc.description.abstract	This paper investigates the integrated control of anti-lock brake system (ABS) and collision avoidance system (CAS) in electric vehicle. Fuzzy logic techniques are applied for integral control of two subsystems. Control algorithm is implemented and tested in a prototype electric vehicle in laboratory environment using freescale HCS12 microcontroller. A high level network protocol CAN is applied to integrate all sensors, ABS and CAS. The results show that integrated control of ABS and CAS maintains the safe distance from obstacle without sacrificing the performance of either system.	en
dc.format.extent	503318 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	brakes	en
dc.subject	centralised control	en
dc.subject	electric vehicles	en
dc.subject	fuzzy logic	en
dc.title	Fuzzy Logic Based Integrated Control of Anti-Lock Brake System and Collision Avoidance System using CAN for Electric Vehicles	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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