DocumentCode :
479802
Title :
Lognormal Similarity Discrimination of Road Surface about ABS
Author :
Wang, Tie ; Wang, Gaonan ; Liu, Yizhou ; Zhou, Shuwen
Author_Institution :
Sch. of Vehicle, Shenyang Ligong Univ., Shenyang
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
856
Lastpage :
859
Abstract :
To avoid it happening that the correctness of created model and developed simulation software on calculating the response time of ABS is partially verified by the experiment result, based on the structure of a typical ABS, the calculation models of the controllable characteristic and mechanical characteristic were created, and the simulation calculation software was developed. The current characteristic of the ABS is in real time detected on the computer simulation system, and the vehicular speed and the wheel speed were obtained. Especially, a lognormal similarity discriminate model of road surface was built. The model recognizes wheel speed data of theory and actual survey as the lognormal distribution while the first loop of anti-skid brake finish. When signals shape changed or noise interfered in the work, the model can classify and give right result. This model is benefit for batch produce, promote, renew and uphold of ABS.
Keywords :
braking; digital simulation; mechanical engineering computing; pattern classification; real-time systems; road vehicles; vehicle dynamics; wheels; antilock brake control system; antiskid brake finish; lognormal road surface similarity discrimination; mechanical characteristic; noise interference; pattern classification; response time; simulation software; vehicular speed; wheel speed; Control systems; Distribution functions; Electronic mail; Mechanical engineering; Noise shaping; Probability; Real time systems; Road vehicles; Shape; Wheels; anti-lock brake; discrimination of road surface; logormal similarity; mathematics model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.429
Filename :
4721884
Link To Document :
بازگشت