Title :
Estimation of vehicle side slip angle using hybrid observer
Author :
Shang Mingli ; Chu Liang ; Guo Jianhua ; Fang Yong
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
The vehicle side slip angle is an important matter of vehicle stability control, and it is usually obtained by estimation method today. A hybrid observer is proposed to estimate the vehicle side slip angle in this paper. The hybrid observer includes three parts: a state-space observer, a kinematics integration module and a weight distribution module. The weighting distribution module includes a vehicle stability detection module and a fuzzy controller. We use the phase plane method to detect the stable status of the vehicle. Then, we use the fuzzy controller to calculate the weight of the state-space observer based on the status of the vehicle stability. Through the weight of the state-space observer, the hybrid observer integrates the state-space observer method and kinematics integration method together and makes full use of the advantage of the two methods. And in order to reduce the integration error of the kinematics integration module, we use the Kalman filter to handle the signals that the sensor measured. So, the hybrid observer can work well in the whole area of the tire. The simulation results show that the hybrid observer can achieve the precise estimation results whether the vehicle is in linear area or in the nonlinear area.
Keywords :
Kalman filters; fuzzy control; observers; slip; stability; state-space methods; vehicle dynamics; Kalman filter; fuzzy controller; hybrid observer; kinematics integration module; phase plane method; state-space observer; vehicle side slip angle estimation; vehicle stability control; vehicle stability detection module; weight distribution module; Kalman filters; Kinematics; Mathematical model; Observers; Stability analysis; Vehicles; Fuzzy Control; Kalman Filter; Kinematics Integration; Phase Plane; State-space; Vehicle Side Slip Angle;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6