Title :
Soft sensor of vehicle state based on UKF and vehicle dynamics
Author :
Zhenhai Gao ; Tao Wu
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
A method of tire force state estimation is presented, which bases on Unscented Kalman Filter algorithm and a 7 degree of freedom vehicle dynamics model. Without available tire model, so it can still estimate the tire forces as well as vehicle longitudinal and lateral speed synchronously by this method. And a comparison with simulation result of CarSim is showed that the soft-sensing algorithm is effective. Therefore, it provides a new approach in the development of ESP and other advanced chassis electronic control system.
Keywords :
Kalman filters; sensors; state estimation; tyres; vehicle dynamics; CarSim; ESP; UKF; chassis electronic control system; soft sensor; tire force state estimation; unscented Kalman filter algorithm; vehicle dynamics; vehicle dynamics model; Equations; Kalman filters; Mathematical model; Tires; Vehicle dynamics; Vehicles; Wheels; dynamics model; soft sensor; tire force; unscented kalman filter; vehicle state estimation;
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.2011.6023524
