DocumentCode :
2943995
Title :
Iterative Algorithm for Road Simulator Using Smooth Filter
Author :
Wang Bin ; Guo Xue-xun ; Yang Bo ; Tan Gang-feng ; Xu Zhan
Author_Institution :
Sch. of Automobile Eng., Wuhan Univ. of Technol., Wuhan, China
Volume :
3
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
238
Lastpage :
241
Abstract :
Remote parameter control (RPC) is presently the major technique for road simulator. However, the iterative parameters settlement in traditional RPC method much relies on test-personnel´s experience. To aim at it, this article presents an improved road simulation iterative method, with which stochastic pavement unevenness has been reproduced on a road simulation test rig. After figuring out input errors by tradition RPC, a smooth filter was devised and then next step input signal was computed by taking filtered error signal directly as the correction of input signal in the iterative formula. For the sake of iterative process stabilization, filter parameter was determined according to the value of iterative relative error. Test results indicate that the iterative process is steady and waveform reproducing precision is high by applying filtered error signal.
Keywords :
iterative methods; road vehicles; smoothing methods; stochastic systems; error signal filtering; iterative parameters settlement; iterative process stabilization; remote parameter control; road simulator; smooth filter; stochastic pavement unevenness; Computational modeling; Filters; Frequency; Iterative algorithms; Iterative methods; Petroleum; Road vehicles; Stochastic processes; Stochastic systems; System testing; iteration; road simulation; smooth filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.174
Filename :
5203191
Link To Document :
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