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
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