Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller
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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8946548/ |
_version_ | 1819169997018103808 |
---|---|
author | Zhong Cao Wenjing Zhao Xiaorong Hou Zhaohui Chen |
author_facet | Zhong Cao Wenjing Zhao Xiaorong Hou Zhaohui Chen |
author_sort | Zhong Cao |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-22T19:28:23Z |
format | Article |
id | doaj.art-bc997cca47e042b89677e47e13d842bb |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-22T19:28:23Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-bc997cca47e042b89677e47e13d842bb2022-12-21T18:15:10ZengIEEEIEEE Access2169-35362020-01-0187455746510.1109/ACCESS.2019.29633598946548Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized ControllerZhong Cao0https://orcid.org/0000-0002-2301-8030Wenjing Zhao1https://orcid.org/0000-0002-1836-5396Xiaorong Hou2https://orcid.org/0000-0001-8217-8491Zhaohui Chen3https://orcid.org/0000-0001-8870-9564School of Physics and Electronic Engineering, Guangzhou University, Guangzhou, ChinaLab Center, Guangzhou University, Guangzhou, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Mathematics, Physics and Data Science, Chongqing University of Science and Technology, Chongqing, ChinaA 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.https://ieeexplore.ieee.org/document/8946548/Multi-objective controlactive suspension systemparameterized controllersymbolic computationdissipative Hamiltonian systems |
spellingShingle | Zhong Cao Wenjing Zhao Xiaorong Hou Zhaohui Chen Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller IEEE Access Multi-objective control active suspension system parameterized controller symbolic computation dissipative Hamiltonian systems |
title | Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller |
title_full | Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller |
title_fullStr | Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller |
title_full_unstemmed | Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller |
title_short | Multi-Objective Robust Control for Vehicle Active Suspension Systems via Parameterized Controller |
title_sort | multi objective robust control for vehicle active suspension systems via parameterized controller |
topic | Multi-objective control active suspension system parameterized controller symbolic computation dissipative Hamiltonian systems |
url | https://ieeexplore.ieee.org/document/8946548/ |
work_keys_str_mv | AT zhongcao multiobjectiverobustcontrolforvehicleactivesuspensionsystemsviaparameterizedcontroller AT wenjingzhao multiobjectiverobustcontrolforvehicleactivesuspensionsystemsviaparameterizedcontroller AT xiaoronghou multiobjectiverobustcontrolforvehicleactivesuspensionsystemsviaparameterizedcontroller AT zhaohuichen multiobjectiverobustcontrolforvehicleactivesuspensionsystemsviaparameterizedcontroller |