Velocity Control of Servo Systems Under Control Input Saturation and Disturbance Using Robust Discrete-Time Sliding Mode Control Method

Ji-Seok Han, Tae-Ho Oh, Young-Seok Kim, Hyun-Taek Lim, Dae-Young Yang, Sang-Hoon Lee, D. Cho
{"title":"Velocity Control of Servo Systems Under Control Input Saturation and Disturbance Using Robust Discrete-Time Sliding Mode Control Method","authors":"Ji-Seok Han, Tae-Ho Oh, Young-Seok Kim, Hyun-Taek Lim, Dae-Young Yang, Sang-Hoon Lee, D. Cho","doi":"10.23919/ICCAS50221.2020.9268294","DOIUrl":null,"url":null,"abstract":"This paper designed a new robust velocity control method for industrial servo systems. Exogenous disturbances and control input saturation are considered by using the discrete-time Sliding mode control with Decoupled disturbance compensator and Auxiliary state (SDA) method. The discrete-time SDA method preserves the original stability of the sliding mode dynamics as well as the stability of the disturbance estimation error dynamics under both control input saturation and disturbance. Due to these attributes, the discrete-time SDA method has been utilized in various control applications. In this paper, the discrete-time SDA method is newly designed for velocity control applications. Based on the error dynamics of the discrete-time SDA method, the gain of the auxiliary state is set to \"1\". This design provides the stability of velocity error, and there is nearly zero overshoot under control input saturation. Experiments are performed to demonstrate the performance of the designed control method.","PeriodicalId":6732,"journal":{"name":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","volume":"66 1","pages":"1034-1038"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS50221.2020.9268294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper designed a new robust velocity control method for industrial servo systems. Exogenous disturbances and control input saturation are considered by using the discrete-time Sliding mode control with Decoupled disturbance compensator and Auxiliary state (SDA) method. The discrete-time SDA method preserves the original stability of the sliding mode dynamics as well as the stability of the disturbance estimation error dynamics under both control input saturation and disturbance. Due to these attributes, the discrete-time SDA method has been utilized in various control applications. In this paper, the discrete-time SDA method is newly designed for velocity control applications. Based on the error dynamics of the discrete-time SDA method, the gain of the auxiliary state is set to "1". This design provides the stability of velocity error, and there is nearly zero overshoot under control input saturation. Experiments are performed to demonstrate the performance of the designed control method.
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
鲁棒离散滑模控制方法在控制输入饱和和干扰下的伺服系统速度控制
本文针对工业伺服系统设计了一种新的鲁棒速度控制方法。采用带解耦干扰补偿和辅助状态(SDA)的离散滑模控制方法,考虑了外源干扰和控制输入饱和。离散时间SDA方法在控制输入饱和和干扰下都保持了滑模动力学的原有稳定性和干扰估计误差动力学的稳定性。由于这些特性,离散时间SDA方法在各种控制应用中得到了应用。本文提出了一种新的用于速度控制的离散时间SDA方法。基于离散时间SDA方法的误差动力学,将辅助状态的增益设为“1”。该设计提供了速度误差的稳定性,并且在控制输入饱和的情况下几乎没有超调。通过实验验证了所设计控制方法的有效性。
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
Real-time quadrotor actuator fault detection and isolation using multivariate statistical analysis techniques with sensor measurements Autonomous docking of an Unmanned Surface Vehicle based on Reachability Analysis Clutch Torque Estimation of Ball-ramp Dual Clutch Transmission using Higher Order Disturbance Observer Robust Traffic Light Detection and Classification Under Day and Night Conditions Visual Surveillance using Deep Reinforcement Learning
×
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