Robust controller design of a semi-active quasi-zero stiffness air suspension based on polynomial chaos expansion

悬挂(拓扑) 刚度 控制理论(社会学) 多项式混沌 控制器(灌溉) 空气悬架 底盘 工程类 计算机科学 控制(管理) 结构工程 数学 人工智能 生物 统计 同伦 纯数学 蒙特卡罗方法 农学
作者
Xiao Jiang,Xing Xu,Cong Liang,Huan Liu,Vincent Akolbire Atindana
出处
期刊:Journal of Vibration and Control [SAGE]
卷期号:: 107754632311537-107754632311537 被引量:2
标识
DOI:10.1177/10775463231153706
摘要

Air suspension is one of the heart of electrified chassis, which plays a key role in vehicle ride comfort, driving stability and safety. In order to further improve the suspension performance to meet the demand of complex and changing road conditions, various new suspension structures have emerged. This paper inherits the advantages of electronically controlled air suspension and proposes a quasi-zero stiffness air suspension system combined with pneumatic negative stiffness mechanism. Aiming at the random uncertainty of the structural parameters of the suspension system due to manufacturing, use environment and wear, a robust controller for a semi-active quasi-zero stiffness air suspension based on polynomial chaos expansion (PCE) is designed. The quasi-zero stiffness air suspension alternative model is established by the coefficient state equation of PCE, and the state feedback control law considering the random parameter uncertainty is obtained based on the H 2 control theory solution. Simulations and HiL tests are conducted to verify the effectiveness and real-time performance of proposed PCE-H 2 controller. Simulation results show that the performance of PCE-H 2 control law is better than that of the conventional H 2 . The HiL results also show that the PCE-H 2 control law considering uncertainty is 3.2% less effective than the conventional H 2 control law in overall performance of the suspension. Besides, the control effect of the PCE-H 2 control law is 38.7% better in the performance maintenance of the semi-active suspension.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
浮浮沉沉发布了新的文献求助10
1秒前
脑洞疼应助李洪晔采纳,获得10
3秒前
隐形曼青应助真知灼见采纳,获得10
3秒前
4秒前
小左发布了新的文献求助10
5秒前
sakurai发布了新的文献求助30
5秒前
星辰大海应助揽星色采纳,获得10
6秒前
6秒前
媛媛子完成签到,获得积分10
8秒前
斯文败类应助王富贵采纳,获得10
9秒前
10秒前
yiyi完成签到,获得积分10
11秒前
tingting发布了新的文献求助10
11秒前
clxxf发布了新的文献求助10
11秒前
11秒前
12秒前
852应助月亮是甜的采纳,获得10
13秒前
蔡琪完成签到,获得积分10
14秒前
15秒前
酷波er应助卡皮巴拉采纳,获得10
15秒前
李洪晔发布了新的文献求助10
15秒前
橙子fy16_发布了新的文献求助10
15秒前
16秒前
18秒前
jdio完成签到,获得积分10
18秒前
19秒前
调味罐完成签到 ,获得积分10
20秒前
~~发布了新的文献求助10
21秒前
小蘑菇应助橙子fy16_采纳,获得10
21秒前
龟龟完成签到 ,获得积分10
22秒前
三金发布了新的文献求助10
22秒前
Math123关注了科研通微信公众号
23秒前
24秒前
25秒前
25秒前
李健应助花凉采纳,获得10
27秒前
27秒前
小星星668完成签到,获得积分10
27秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Aspects of Babylonian celestial divination : the lunar eclipse tablets of enuma anu enlil 1500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3459147
求助须知:如何正确求助?哪些是违规求助? 3053698
关于积分的说明 9037829
捐赠科研通 2742963
什么是DOI,文献DOI怎么找? 1504592
科研通“疑难数据库(出版商)”最低求助积分说明 695334
邀请新用户注册赠送积分活动 694644