A fuzzy predictive redundancy system for fault-tolerance of x-by-wire systems

Authors:
Man Ho Kim;Suk Lee;Kyung Chang Lee
Affiliations:
School of Mechanical Engineering, Pusan National University, Busan, South Korea;School of Mechanical Engineering, Pusan National University, Busan, South Korea;Department of Control and Instrumentation Engineering, Pukyong National University, Busan, South Korea
Venue:
Microprocessors & Microsystems
Year:
2011

Citing 6
Cited 0

Design & analysis of fault tolerant digital systems

Design & analysis of fault tolerant digital systems
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Automatica (Journal of IFAC)
N version programming with majority voting decision: dependability modeling and evaluation

EUROMICRO 93 Nineteenth EUROMICRO symposium on microprocessing and microprogramming on Open system design : hardware, software and applications: hardware, software and applications
Mastering SIMULINK

Mastering SIMULINK
Two novel shared-clock scheduling algorithms for use with 'Controller Area Network' and related protocols

Microprocessors & Microsystems
A general class of simple majority decision rules based on linguistic opinions

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

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 to show that it outperforms well-known average and median voters. 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.