{"title":"非线性磁悬浮系统的约束广义模型预测控制","authors":"H. R. Karampoorian, R. Mohseni","doi":"10.1109/ICCAS.2010.5669953","DOIUrl":null,"url":null,"abstract":"In this paper, we designed generalized model predictive control for linearized magnetic levitation system and applied to the nonlinear system. The proposed control strategy is guarantee the stability of the open loop unstable system and tracking the desired values of the state variables with the stabilizing constraints. The simulation results show that the tracking performance and effectiveness of generalized predictive control strategy. Furthermore, robustness with respect to mismatch between model/process with changes in the parameters of the system are investigated.","PeriodicalId":158687,"journal":{"name":"ICCAS 2010","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Control of a nonlinear magnetic levitation system by using constraint generalized model predictive control\",\"authors\":\"H. R. Karampoorian, R. Mohseni\",\"doi\":\"10.1109/ICCAS.2010.5669953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we designed generalized model predictive control for linearized magnetic levitation system and applied to the nonlinear system. The proposed control strategy is guarantee the stability of the open loop unstable system and tracking the desired values of the state variables with the stabilizing constraints. The simulation results show that the tracking performance and effectiveness of generalized predictive control strategy. Furthermore, robustness with respect to mismatch between model/process with changes in the parameters of the system are investigated.\",\"PeriodicalId\":158687,\"journal\":{\"name\":\"ICCAS 2010\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICCAS 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2010.5669953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICCAS 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2010.5669953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control of a nonlinear magnetic levitation system by using constraint generalized model predictive control
In this paper, we designed generalized model predictive control for linearized magnetic levitation system and applied to the nonlinear system. The proposed control strategy is guarantee the stability of the open loop unstable system and tracking the desired values of the state variables with the stabilizing constraints. The simulation results show that the tracking performance and effectiveness of generalized predictive control strategy. Furthermore, robustness with respect to mismatch between model/process with changes in the parameters of the system are investigated.