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
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