DocumentCode
550943
Title
Data/physics modelling of vehicle dynamics and application to velocity estimation
Author
Guo Hongyan ; Chen Hong ; Zhang Huayu
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
fYear
2011
fDate
22-24 July 2011
Firstpage
5304
Lastpage
5309
Abstract
In order to reduce the computation burden of the complex tyre model, the mixed data/physics tyre model is built at first, taking the requirement of miniaturization and real-time performance of electronic control system into account. Then, the vehicle dynamics description is obtained and the mixed model is validated in the following. Based on this, the nonlinear cascaded observer is designed using the modular estimation scheme. Then the stability of the nonlinear cascaded observer is analyzed. In order to verify the vehicle velocity estimation results, the simulation is carried out in the conventional and critical condition in the vehicle running. Meanwhile, the estimation results are compared with the nonlinear reduce order observer and vehicle dynamics software veDYNA. The simulation results show that the cascaded observer using mixed data/physics vehicle model has faster computation speed on the premise of better estimation results, and could satisfy the requirements of engineering application.
Keywords
observers; reduced order systems; stability; tyres; vehicle dynamics; complex tyre model; electronic control system; modular estimation scheme; nonlinear cascaded observer stability; nonlinear reduce order observer; physics modelling; veDYNA; vehicle dynamics software; velocity estimation; Computational modeling; Data models; Observers; Stability analysis; Tires; Vehicle dynamics; Vehicles; Data/Physics Modelling; Input-to-State Stability; Nonlinear Cascaded Observer; Vehicle Dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6001284
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