DocumentCode
530779
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
Volume
3
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
170
Lastpage
172
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610358
Filename
5610358
Link To Document