Vehicle height control of air suspension based on speed adaptive double-zone model prediction

空气悬架 悬挂(拓扑) 控制理论(社会学) 计算机科学 控制(管理) 工程类 数学 人工智能 结构工程 同伦 纯数学
作者
Ruochen Wang,Yiqian Jiang,Renkai Ding,Yijie Chen,Ke Xu
标识
DOI:10.1177/09544070241288921
摘要

The electronically controlled air suspension (ECAS) system improves the ride comfort and stability of the vehicle by adjusting the vehicle height. Due to the compressibility of air and the inertia of suspension, the ECAS system has the problem of excessive adjustment in the process of vehicle height adjustment, so that the solenoid valve is repeatedly opened and closed. Aiming at this problem, this paper proposes a new vehicle height control method based on speed adaptive double-zone model prediction control (AD-MPC), which realizes the adjustment of vehicle height with less operation of solenoid valve. Firstly, the single-wheeled air suspension is selected as the characteristic model and the spatial state equation is established. Then, the seeker optimization algorithm for the double-zone selection problem is designed to quickly find the best double-zone to obtain a double-zone function that can adapt to the speed. And then, the predictive control method based on AD-MPC is designed. Finally, the effectiveness and feasibility of the method are verified by simulation and experiment.
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