Robust control research for full-car active suspension based on the μ synthesis algorithm

被引：0

作者：

Zhou B. ^{[1
]}

Wu X.-J. ^{[1
]}

Wen G.-L. ^{[1
]}

Qiu X. ^{[2
]}

机构：

[1] State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha

[2] The Center of Collaboration and Innovation, Jiangxi University of Technology, Nanchang

来源：

Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2017年 / 30卷 / 06期

关键词：

Active suspension; Full-car model; Robust control; Uncertainty; μ; synthesis;

D O I：

10.16385/j.cnki.issn.1004-4523.2017.06.017

中图分类号：

学科分类号：

摘要：

Considering that uncertain parameters of suspension system and noise interference of sensor measurements are prone to lead to weak robustness. The full-car model can accurately illustrate the vehicle vibration response and the μ synthesis control method has less conservative for multiple uncertainties dynamics system.A control system is developed for the full-car model active suspension system. Firstly, twelve uncertainties including spring stiffness, damper coefficient and motor time constant are taken into account. The dynamics model with uncertainties is established based on the linear fractional transformation (LFT) method. The accuracy of the full-car model is validated by real test. Subsequently, a robust controller is designed for the uncertain dynamics system using the μ synthesis algorithm. The upper and lower bounds of the structured singular value show that the control system has good robust stability and robust performance. Finally, a comparison between a μ synthesis controller and an H∞ controller in both frequency domain and time domain indicates that the μ synthesis control system is more effective to improve vehicle ride and safety performance. © 2017, Editorial Board of Journal of Vibration Engineering. All right reserved.

引用

页码：1029 / 1037

页数：8

共 18 条

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