Model predictive control for car vehicle dynamics system - Comparative study

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...

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Bibliographic Details
Main Authors: Yakub, Fitri, Mori, Yasuchika
Format: Conference Proceeding
Language:English
Subjects:
Roads
Safety
Stability analysis
Suspensions
Trajectory
Vehicle dynamics
Vehicles
Online Access:Request full text
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Summary: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.
ISSN:2164-4357
DOI:10.1109/ICIST.2013.6747530