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