Hong‐Du Wang, Zhi Lin, M. Karkoub, Deniz Kerimoglu
{"title":"Extended state observer based sliding mode control with prescribed performance for underwater vehicle manipulator system","authors":"Hong‐Du Wang, Zhi Lin, M. Karkoub, Deniz Kerimoglu","doi":"10.1109/CACRE50138.2020.9230230","DOIUrl":null,"url":null,"abstract":"In this paper, a design method of extended state observer (ESO)-based sliding mode control is proposed for underwater vehicle manipulator systems (UVMSs) with prescribed performance. First, the system model is reformulated by lumping the unknown uncertainties and disturbances into a total disturbance. Then, an ESO is developed to estimate the total disturbance. Based on ESO, the prescribed performance is defined to limit upper bounds of tracking error and then a sliding mode controller is proposed to ensure that all the signals are ultimately uniformly bounded (UUB). Moreover, the tracking errors can converge to the neighborhood of zero in finite-time and satisfy the prescribed performances. Finally, simulation results are presented to show the effectiveness of the proposed controller.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACRE50138.2020.9230230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, a design method of extended state observer (ESO)-based sliding mode control is proposed for underwater vehicle manipulator systems (UVMSs) with prescribed performance. First, the system model is reformulated by lumping the unknown uncertainties and disturbances into a total disturbance. Then, an ESO is developed to estimate the total disturbance. Based on ESO, the prescribed performance is defined to limit upper bounds of tracking error and then a sliding mode controller is proposed to ensure that all the signals are ultimately uniformly bounded (UUB). Moreover, the tracking errors can converge to the neighborhood of zero in finite-time and satisfy the prescribed performances. Finally, simulation results are presented to show the effectiveness of the proposed controller.