DocumentCode :
2790850
Title :
Self-adapt fuzzy control of a semi-active suspension of high-speed locomotive with MR dampers
Author :
Ma, Xin-na ; Yang, Shao-pu
Author_Institution :
Sch. of Mech., Electron. & Control Eng., Beijing Jiaotong Univ., Beijing
Volume :
4
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2120
Lastpage :
2124
Abstract :
MR dampers have turned out to be a promising device in vibration control. According to the nonlinear of MR damper and the vibration characteristic of semi-active suspension of high-speed locomotive, a seventeen-degree-of-freedom lateral semi-control model of high-speed whole locomotive with MR dampers is established. Taking into account of the nonlinear vibrations of the semi-active suspension system, fuzzy control rules and self-adapt fuzzy control strategy are put forward. In order to compare the performance of self-adapt fuzzy control strategy, the simulations are performed for the on-off control to the same model. The simulation results show that the self-adapt fuzzy control can lower the lateral vibration of the locomotive effectively and improve the ride comfort obviously.
Keywords :
adaptive control; damping; fuzzy control; locomotives; nonlinear control systems; suspensions (mechanical components); vehicle dynamics; vibration control; MR dampers; high-speed locomotive; nonlinear vibrations; self-adapt fuzzy control; semi-active suspension; semiactive suspension system; semicontrol model; vibration control; Acceleration; Accelerometers; Cybernetics; Damping; Fuzzy control; Machine learning; Magnetic levitation; Shock absorbers; Vibration control; Wheels; Fuzzy control; MR damper; lateral vibration control; semi-active suspension;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620756
Filename :
4620756
Link To Document :
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