{"title":"Sliding Mode Control with Integral Compensation and Fuzzy Tuning for Hydraulic Flight Motion Simulator","authors":"Ben-Yong Wang, K. Zhao, Bo-Yi Wu, Shenglin Wu","doi":"10.1109/ICIEA.2007.4318706","DOIUrl":null,"url":null,"abstract":"This paper presents sliding mode control with integral compensation and fuzzy tuning for hydraulic flight motion simulator servo system, which is highly nonlinear in nature with large parameter variations and severe load coupling among channels. The proposed control consists of an equivalent control for assigning desired sliding eigenvalues of the nominal closed-loop system, a switching control for guaranteeing a sliding mode, and a fuzzy tuned control for accelerating reaching time and attenuating chattering. The validity of the proposed control strategy is verified by simulations and experiments. The results demonstrate that the controlled system is highly robust against the large parameter and load variations and the controller possesses excellent capability of suppressing the severe load coupling among channels and improving the trajectories tracking performance.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2007.4318706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents sliding mode control with integral compensation and fuzzy tuning for hydraulic flight motion simulator servo system, which is highly nonlinear in nature with large parameter variations and severe load coupling among channels. The proposed control consists of an equivalent control for assigning desired sliding eigenvalues of the nominal closed-loop system, a switching control for guaranteeing a sliding mode, and a fuzzy tuned control for accelerating reaching time and attenuating chattering. The validity of the proposed control strategy is verified by simulations and experiments. The results demonstrate that the controlled system is highly robust against the large parameter and load variations and the controller possesses excellent capability of suppressing the severe load coupling among channels and improving the trajectories tracking performance.
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