DocumentCode :
1841936
Title :
Implementation of a fuzzy predictive redundancy system for tolerance of x-by-wire systems
Author :
Young Hun Song ; Man Ho Kim ; Suk Lee ; Kyung Chang Lee
Author_Institution :
Pusan Nat. Univ., Busan, South Korea
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
3141
Lastpage :
3145
Abstract :
Safety issues and the dependence of numerous systems on electronics are rapidly increasing the concern over fault tolerance. As an example, an intelligent vehicle with electronically controlled x-by-wire systems composed of dynamically configurable electronic elements instead of rigid mechanical components must be fault tolerant because a devastating failure could occur without warning. In particular, a safety-related malfunction of the brakes, throttle, or steering system could lead to serious injury or death and damage the manufacturer´s reputation. If there is a warning it may not be as devastating as one could prevent it or mitigate it. Therefore, fault tolerance is the primary focus of x-by-wire systems development. To address this concern, this paper presents a fuzzy predictive redundancy system that can remove most erroneous faults with a fault detection algorithm. This paper also introduces a prototype of the system using an embedded microcontroller unit. The experimental results show that fuzzy predictive redundancy can be an appropriate choice for fault tolerance in the x-by-wire systems such as steer-by-wire system or brake-by-wire system of intelligent vehicle.
Keywords :
brakes; fault tolerance; fuzzy set theory; mechanical engineering computing; safety; steering systems; vehicles; brakes; dynamically configurable electronic elements; electronically controlled x-by-wire systems; fault tolerance; fuzzy predictive redundancy system; intelligent vehicle; safety issues; steering system; throttle; Circuit faults; Fault detection; Fault tolerant systems; Redundancy; Sensors; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5675027
Filename :
5675027
Link To Document :
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