Ashitosh D. Chavan, Aniket D. Gundecha, Kaliprasad A. Mahapatro, Prasheel V. Suryawanshi
{"title":"State and Disturbance Observer for Robust Motion Control","authors":"Ashitosh D. Chavan, Aniket D. Gundecha, Kaliprasad A. Mahapatro, Prasheel V. Suryawanshi","doi":"10.1109/RTEICT46194.2019.9016849","DOIUrl":null,"url":null,"abstract":"The paper proposes a combination of sliding mode control (SMC) strategy with state and disturbance observer (SDO) technique. In most of the applications all the states of the plant are not available for measurement. In that case SDO is used to estimate the plant states along with matched as well as mismatched uncertainties. The estimates of SDO is used in proposed control law to improve the output tracking. The proposed control can effectively regulate the motor speed, even in the presence of uncertainties and disturbances. Disturbance observer (DO) can estimate the matched as well as mismatched uncertainties in the plant. The proposed control is validated experimentally on DC Motor setup with MATLAB-Simulink.","PeriodicalId":269385,"journal":{"name":"2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT46194.2019.9016849","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
The paper proposes a combination of sliding mode control (SMC) strategy with state and disturbance observer (SDO) technique. In most of the applications all the states of the plant are not available for measurement. In that case SDO is used to estimate the plant states along with matched as well as mismatched uncertainties. The estimates of SDO is used in proposed control law to improve the output tracking. The proposed control can effectively regulate the motor speed, even in the presence of uncertainties and disturbances. Disturbance observer (DO) can estimate the matched as well as mismatched uncertainties in the plant. The proposed control is validated experimentally on DC Motor setup with MATLAB-Simulink.