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