DocumentCode :
526793
Title :
A Steering-By-Wire fault-tolerance control strategy based on multi-dimension Gauss Hidden Markov Model
Author :
He, Lei ; Zong, Changfu ; Wang, Chang
Author_Institution :
State Key Lab. of Automobile Dynamics Simulation(ASCL), Univ. of Jilin, Changchun, China
fYear :
2010
fDate :
13-15 Aug. 2010
Firstpage :
227
Lastpage :
230
Abstract :
Sensor fault-tolerance control technology plays a significant role in maintaining the reliability of a Steering-By-Wire system. Based on the multi-dimension Gauss Hidden Markov Model (HMM) algorithm, this paper presents a steering wheel angle sensor fault-tolerance control strategy in the Steering-By-Wire system using hardware redundancy technique. The impact of this strategy is examined through HIL (Hardware-in-Loop) experiments and test results demonstrate that the strategy proposed and employed here can effectively improve the performance of a Steering-By-Wire vehicle in terms of increasing its reliability and strengthening its security against sensor failures.
Keywords :
Gaussian processes; automotive components; hidden Markov models; steering systems; HIL; HMM; hardware-in-loop; multidimension Gauss hidden Markov model; sensor fault-tolerance control technology; steering wheel angle sensor; steering-by-wire fault-tolerance control strategy; Control systems; Fault tolerance; Fault tolerant systems; Hidden Markov models; Prediction algorithms; Vehicles; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
Type :
conf
DOI :
10.1109/ICICIP.2010.5565251
Filename :
5565251
Link To Document :
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