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Study of the Control Scheme of an Active Suspension using MPC and Preview Information
ipc-10-99/ipc99019

Authors

Byung-Kwan Cho - University of Technology and Education
Gilha Ryu - University of Technology and Education
J. Karl Hedrick - University of California

Abstract

This paper is concerned with the design and evaluation of an active suspension controller which maximizes the ride comfort of a vehicle and improves the handling characteristics. For this purpose Model Predictive Control (MPC) is applied and it is assumed that the preview information of the oncoming road disturbance is available. The predictive control approach uses the output prediction and receding-horizon approach. It uses a predictor to forecast the output over a time horizon and determines the future control over the horizon by minimizing the performance index. The method developed is applied to a four degree of freedom half vehicle model and numerical simulation shows that the MPC controller achieves substantial improvement to the ride qualities and performances of a vehicle

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