Title :
Comparative Study on Control Strategy of Active Suspension System
Author :
Sun, Jianmin ; Sun, Yi
Author_Institution :
Beijing Univ. of Civil Eng. & Archit., Beijing, China
Abstract :
The parameters of suspension system cannot change according to the road excitation, and the system can only store or exhaust the body vibration energy. The active suspension system can improve both the riding comfort and handing safety in various operation conditions. The least means squares adaptive algorithm is used in active suspension system. For the least means squares adaptive algorithm, the minimum quadratic performance index is obtained according to adjusting the weight of the adaptive filter. For vehicle suspension model, the sky-hook control, generalized adaptive control and least means squares adaptive control are studied. For least means squares adaptive control suspension, compared with passive suspension, acceleration decreases largely as 8-10 times in study frequency domain. The simulation calculation results that the least means squares adaptive control strategy may largely improve the performances of the suspension system.
Keywords :
adaptive control; adaptive filters; least mean squares methods; road vehicles; suspensions (mechanical components); vibration control; active suspension system; adaptive filter; control strategy; generalized adaptive control; least means squares adaptive control algorithm; minimum quadratic performance index; road excitation; sky-hook control; vehicle suspension model; vibration energy; Acceleration; Adaptation model; Adaptive control; Frequency control; Least squares approximation; Suspensions; Vehicles; Active Suspension; Adaptive Control; Control Algorithm; Suspension Performance;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.184
