@article{ref1,
title="Model predictive control for speed-dependent active suspension system with road preview information",
journal="Sensors (Basel)",
year="2024",
author="Li, Qiangqiang and Chen, Zhiyong and Song, Haisheng and Dong, Yahui",
volume="24",
number="7",
pages="e2255-e2255",
abstract="This paper proposes a model predictive control (MPC) scheme based on linear parameter variation to enhance the damping control of speed-dependent active suspensions. The controller is developed by introducing a speed-dependent term, specifically front- and rear-wheel time delays, to the half-car model using the Padé approximation. Subsequently, the model is augmented with time-varying parameter dependence. An adaptive Kalman filter based on variance matching is employed to estimate system states affected by imprecise sensor measurement noise. Finally, a set of explicit control laws incorporating road preview information and available vehicle speed are determined offline using multi-parameter linear programming (mp-LP), simplifying online implementation to searching for optimal solutions in a lookup table. Simulation results demonstrate a significant improvement in active suspension control under changing vehicle speeds compared to passive control.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s24072255",
url="http://dx.doi.org/10.3390/s24072255"
}