DocumentCode :
3373005
Title :
Study on vibration control based on adaptive filtering algorithm
Author :
Yang, Qingmei ; Sun, Jiammin
Author_Institution :
Coll. of Autom., Beijing Union Univ., Beijing, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
4018
Lastpage :
4022
Abstract :
To approach an effective vibration control, the emphasis of the research is an adaptive control method for vehicle suspension system. Because of the features of the passive suspension´s structure, the system can only store or exhaust the body vibration energy. So the conception of active and semiactive suspension has been advanced, which give a new way to improve the vibration performance of suspension system. The Least Means Squares (LMS) adaptive filtering algorithm is used in active suspension system. With adjusting the weight of the adaptive filter, the minimum quadratic performance index is obtained. For the vibration control of two-DOF vehicle suspension model, the simulation results show that the body´s vertical vibration control based on the adaptive filtering algorithm is prominent under the excitation of road signal.
Keywords :
adaptive control; adaptive filters; least mean squares methods; performance index; road vehicles; suspensions (mechanical components); vibration control; active suspension system; adaptive control method; least means squares adaptive filtering algorithm; quadratic performance index; road signal excitation; semiactive suspension; two-DOF vehicle suspension model; vehicle suspension system; vertical vibration control; Adaptive control; Adaptive filters; Automation; Filtering algorithms; Frequency; Least squares approximation; Roads; Signal processing algorithms; Vehicles; Vibration control; Active suspension; Adaptive filtering algorithm; Simulation; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246696
Filename :
5246696
Link To Document :
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