Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller

IEEE Access

Wenjing Zhao¹  Xiaorong Hou²  Zhaohui Chen³  Zhong Cao⁴ 

[1] Lab Center, Guangzhou University, Guangzhou, China;School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China;School of Mathematics, Physics and Data Science, Chongqing University of Science and Technology, Chongqing, China;School of Physics and Electronic Engineering, Guangzhou University, Guangzhou, China;

关键词: Multi-objective control;    active suspension system;    parameterized controller;    symbolic computation;    dissipative Hamiltonian systems;   

DOI  :  10.1109/ACCESS.2019.2963359

来源: DOAJ

【 摘 要 】

A parameterized controller design approach is proposed to solve the problem of multi-objective control for vehicle active suspension systems by using symbolic computation. The considered model is a quarter-vehicle model of the active suspension system. The multi-objective robust control performances include the sprung mass acceleration, suspension deflection, and tire deflection. Based on dissipative Hamiltonian systems and Lyapunov function, a multi-objective $H_{\infty }$ controller design approach is developed, which can avoid solving Hamilton-Jacobi-Issacs equations. Then, an algorithm of solving semi-positive definite polynomial with tuning parameters is proposed by using symbolic computation. Furthermore, a method of parameter optimization is proposed. Simulations and comparation show that the control performance is significantly improved comparing with passive controlled systems and existing other control systems for active suspension systems.

【 授权许可】

Unknown