DocumentCode :
3182904
Title :
Adaptive vehicle planar motion control with fast parameter estimation
Author :
Xiaoyu Huang ; Junmin Wang
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
5034
Lastpage :
5039
Abstract :
This paper presents a new adaptive control scheme for vehicle planar motion control with fast parameter estimation in moderate maneuvers in real-time. The parameters to be estimated include vehicle mass and yaw moment of inertia, which are important to the control systems for lightweight vehicles (LWVs) whose mass and yaw moment of inertia values change substantially with payload variations. A traditional Lyapunov-type adaptive control design rarely provides the bonus of accurate estimation of the true vehicle parameter values due to insufficient excitation in normal/moderate driving maneuvers. In this paper, to circumvent the obstacle of low adaptation rate, the traditional update law is supplemented with a new adaptive compensator to achieve much faster parameter convergence. The new design preserves the tracking performance and poses no additional requirements on the driving maneuvers. Simulation results show that the proposed adaptive scheme is capable of constructing true values of vehicle mass and yaw moment of inertia in just a few seconds once the corresponding persistent excitation is satisfied.
Keywords :
Lyapunov methods; adaptive control; motion control; parameter estimation; road vehicles; LWV; Lyapunov-type adaptive control design; adaptive vehicle planar motion control; fast parameter estimation; inertia yaw moment; lightweight vehicles; normal-moderate driving maneuvers; parameter convergence; payload variations; update law; vehicle mass; Adaptation models; Adaptive control; Parameter estimation; Tires; Turning; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426997
Filename :
6426997
Link To Document :
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