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LMI-based robust model predictive control for a quarter car with series active variable geometry suspension by Feng, Zilin; Georgiou, Anastasis; Evangelou, Simos A.; Yu, Min; Jaimoukha, Imad M; Dini, Daniele is a scholarly article available to read on EtoBox.

What is LMI-based robust model predictive control for a quarter car with series active variable geometry suspension about?

This paper proposes a robust model predictive control-based solution for the recently introduced series active variable geometry suspension (SAVGS) to improve the ride comfort and road holding of a quarter car. In order to close the gap between the nonlinear multi-body SAVGS model and its linear equivalent, a new uncertain system characterization is proposed that captures unmodeled dynamics, parameter variation, and external disturbances. Based on the newly proposed linear uncertain model for the quarter car SAVGS system, a constrained optimal control problem (OCP) is presented in the form of a linear matrix inequality (LMI) optimization. More specifically, utilizing semidefinite relaxation techniques a state-feedback robust model predictive control (RMPC) scheme is presented and integrated with the nonlinear multi-body SAVGS model, where state-feedback gain and control perturbation are computed online to optimise performance, while physical and design constraints are preserved. Numerical simulation results with different ISO-defined road events demonstrate the robustness and significant performance improvement in terms of ride comfort and road holding of the proposed approach, as

Author

Feng, Zilin; Georgiou, Anastasis; Evangelou, Simos A.; Yu, Min; Jaimoukha, Imad M; Dini, Daniele

Published

2024

Language

EN