Title :
Study on fuzzy adaptive Kalman Filter algorithm for vehicle active suspension
Author :
Li, Nan ; Wei, Lai ; Yu, Weibo
Author_Institution :
Coll. of Inf. & Control Eng., Jilin Inst. of Chem. Technol., Jilin, China
Abstract :
According to highly nonlinear and time-varying vehicle suspension, fuzzy adaptive Kalman filter algorithm is put forward. Adaptive Kalman Filter (AKF) algorithm is used for adjust the fuzzy controller parameters online, adapted to the time-varying controlled object. The dynamic performance and steady precision of system is improved, and control quality is advanced. The results show that the riding comfort is obviously improved by this method.
Keywords :
adaptive Kalman filters; fuzzy set theory; suspensions (mechanical components); time-varying systems; vehicle dynamics; vibration control; control quality; fuzzy adaptive Kalman Filter algorithm; fuzzy controller; riding comfort; system dynamic performance; system steady precision; time-varying controlled object; time-varying vehicle active suspension; Niobium; Suspensions; AKF; active suspension; fuzzy control;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610358
