{"title":"基于扰动观测器的机器人鲁棒摆动与平衡控制","authors":"Sanghyob Lee, Myunghwan Eom, Dongkyoung Chwa","doi":"10.1109/ICCAS.2015.7364877","DOIUrl":null,"url":null,"abstract":"This paper proposes robust swing up and balancing control scheme of the acrobot system based on a disturbance observer. The partial feedback linearization and LQR control method are fast and effective way to control the nominal acrobot system. However, these control method does not guarantee the robustness. Also, the limit cycle phenomenon which appears in the acrobot system around the desired unstable equilibrium point can be assumed a sinusoidal signal. Therefore, disturbance observer for the sinusoidal disturbance is applied to develop the compensation scheme which minimizes the effect of the disturbance. The proposed control strategy was verified through the simulation results.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"106 1","pages":"48-53"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Robust swing up and balancing control of the acrobot based on a disturbance observer\",\"authors\":\"Sanghyob Lee, Myunghwan Eom, Dongkyoung Chwa\",\"doi\":\"10.1109/ICCAS.2015.7364877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes robust swing up and balancing control scheme of the acrobot system based on a disturbance observer. The partial feedback linearization and LQR control method are fast and effective way to control the nominal acrobot system. However, these control method does not guarantee the robustness. Also, the limit cycle phenomenon which appears in the acrobot system around the desired unstable equilibrium point can be assumed a sinusoidal signal. Therefore, disturbance observer for the sinusoidal disturbance is applied to develop the compensation scheme which minimizes the effect of the disturbance. The proposed control strategy was verified through the simulation results.\",\"PeriodicalId\":6641,\"journal\":{\"name\":\"2015 15th International Conference on Control, Automation and Systems (ICCAS)\",\"volume\":\"106 1\",\"pages\":\"48-53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 15th International Conference on Control, Automation and Systems (ICCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2015.7364877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2015.7364877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust swing up and balancing control of the acrobot based on a disturbance observer
This paper proposes robust swing up and balancing control scheme of the acrobot system based on a disturbance observer. The partial feedback linearization and LQR control method are fast and effective way to control the nominal acrobot system. However, these control method does not guarantee the robustness. Also, the limit cycle phenomenon which appears in the acrobot system around the desired unstable equilibrium point can be assumed a sinusoidal signal. Therefore, disturbance observer for the sinusoidal disturbance is applied to develop the compensation scheme which minimizes the effect of the disturbance. The proposed control strategy was verified through the simulation results.