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

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contributor.authorKumar K, S-
contributor.authorVerghese, L-
contributor.authorMahapatra, K K-
date.accessioned2009-07-30T02:25:47Z-
date.available2009-07-30T02:25:47Z-
date.issued2009-
identifier.citationIEEE International Conference on Industrial Technology, 2009. ICIT 2009, Gippsland, VIC,10-13 Feb. 2009 Page(s):1 - 5en
identifier.urihttp://dx.doi.org/10.1109/ICIT.2009.4939720-
identifier.urihttp://hdl.handle.net/2080/951-
description.abstractThis 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
format.extent503318 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectbrakesen
subjectcentralised controlen
subjectelectric vehiclesen
subjectfuzzy logicen
titleFuzzy Logic Based Integrated Control of Anti-Lock Brake System and Collision Avoidance System using CAN for Electric Vehiclesen
typeArticleen
Appears in Collections:Conference Papers

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