A linear model of quarter car active suspension system using composite nonlinear feedback control

M. F. Ismail, Y. M. Sam, K. Peng, M. K. Aripin, N. Hamzah, M. H. C. Hasan
{"title":"A linear model of quarter car active suspension system using composite nonlinear feedback control","authors":"M. F. Ismail, Y. M. Sam, K. Peng, M. K. Aripin, N. Hamzah, M. H. C. Hasan","doi":"10.1109/SCORED.2012.6518619","DOIUrl":null,"url":null,"abstract":"The composite nonlinear feedback (CNF) control technique is successfully applied to design the controller based on control law for an active suspension system. The CNF control law is composed of a linear control law and a nonlinear feedback part. The main idea of CNF is to design the linear control law with a low damping-ratio to achieve fast rising time and to design the nonlinear feedback part to result in a high damping-ratio to remove the overshoot caused by the linear control law when the system controlled output approached the reference. Such the CNF control laws can improve the tracking and regulating performances of the resulting closed-loop systems. The active suspension system is hierarchically divided into two subsystems with the system transformation based on the system structural properties at first and then the CNF control laws are designed for the two subsystems each One of the CNF control laws is designed for tracking control and the other is designed against the mismatching disturbance. The complete control law is made by combining the two CNF control laws and the system transformation. The simulation results show that CNF controller is better than LQR controller and passive model. The computer simulation is done to prove the CNF control performance.","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"36 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2012.6518619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

The composite nonlinear feedback (CNF) control technique is successfully applied to design the controller based on control law for an active suspension system. The CNF control law is composed of a linear control law and a nonlinear feedback part. The main idea of CNF is to design the linear control law with a low damping-ratio to achieve fast rising time and to design the nonlinear feedback part to result in a high damping-ratio to remove the overshoot caused by the linear control law when the system controlled output approached the reference. Such the CNF control laws can improve the tracking and regulating performances of the resulting closed-loop systems. The active suspension system is hierarchically divided into two subsystems with the system transformation based on the system structural properties at first and then the CNF control laws are designed for the two subsystems each One of the CNF control laws is designed for tracking control and the other is designed against the mismatching disturbance. The complete control law is made by combining the two CNF control laws and the system transformation. The simulation results show that CNF controller is better than LQR controller and passive model. The computer simulation is done to prove the CNF control performance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于复合非线性反馈控制的四分之一汽车主动悬架系统的线性模型
将复合非线性反馈控制技术成功地应用于主动悬架系统的基于控制律的控制器设计。CNF控制律由线性控制律和非线性反馈部分组成。CNF的主要思想是设计具有低阻尼比的线性控制律以实现快速上升时间,设计具有高阻尼比的非线性反馈部分以消除系统控制输出接近参考点时线性控制律引起的超调。这种CNF控制律可以改善闭环系统的跟踪和调节性能。首先将主动悬架系统分层划分为两个子系统,并根据系统的结构特性进行系统变换,然后分别为两个子系统设计CNF控制律,其中CNF控制律用于跟踪控制,另一个用于抗失匹配干扰。将这两种CNF控制律与系统变换相结合,得到了完整的控制律。仿真结果表明,CNF控制器优于LQR控制器和无源模型。通过计算机仿真验证了该方法的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Welcome message Adjacent channel rejection analysis due to channel select filter in RF superheterodyne receiver of WLAN IEEE 802.11a University students stress level and brainwave balancing index: Comparison between early and end of study semester A linear model of quarter car active suspension system using composite nonlinear feedback control Initial strategy for design and fabrication of microgap electrodes
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1