Title :
Design of longitudinal vehicle velocity observer using fuzzy logic and Kalman filter
Author :
Liang Chu ; Libo Chao ; Yongsheng Zhang ; YanRu Shi
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
An adaptive vehicle longitudinal velocity observer is designed in this paper for Electronic stability control system based on the standard sensors for ESC. At first, wheel speed of each wheel is converted to the center of gravity of the vehicle after they have been converted to free rolling speed; then fuzzy logic is used to get a first estimation of vehicle longitudinal velocity; together with the estimated vehicle longitudinal acceleration, Kalman filter is used the estimate the velocity of vehicle for the use of ESC control. Simulation results show that the algorithm proposed can estimate the vehicle longitudinal velocity precisely.
Keywords :
Kalman filters; control system synthesis; fuzzy logic; observers; road vehicles; sensors; stability; ESC control; Kalman filter; adaptive vehicle longitudinal velocity observer design; electronic stability control system; free rolling speed; fuzzy logic; road vehicles; standard sensors; vehicle longitudinal acceleration; wheel speed; Acceleration; Equations; Mathematical model; Observers; Vehicles; Wheels; ESC; fuzzy logic; kalman filtering; longitudinal speed;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023772
