DocumentCode :
3380863
Title :
Model predictive control for car vehicle dynamics system - Comparative study
Author :
Yakub, Fitri ; Mori, Yasuchika
Author_Institution :
Graduate School of System Design, Tokyo Metropolitan University, Hino, 191-0065 Japan
fYear :
2013
fDate :
23-25 March 2013
Firstpage :
172
Lastpage :
177
Abstract :
Model predictive control (MPC), one of the advanced control methods that has received on going interest from academic and industrial researchers communities. One of the major attractive aspects of MPC methodology is the design formulation, which capitalizes a multivariable system structure where it controls performance parameters that are related to the engineering aspects of the system. Due to its advantages, it has been extended to many areas of vehicle dynamics system and control. Therefore, the goal of this paper is to review MPC as a practical controller for car vehicle dynamics system for active safety and stability control. The publications is classify to three main aspects, i.e., steering and braking control, yaw and roll control, and active and semi-active suspension control. MPC had a good control performance and robustness to parameters variations with constraints to linear or nonlinear systems.
Keywords :
Roads; Safety; Stability analysis; Suspensions; Trajectory; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
Type :
conf
DOI :
10.1109/ICIST.2013.6747530
Filename :
6747530
Link To Document :
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