{"title":"基于在线辨识的最优控制方法","authors":"Rongjie Kang, Z. Jiao, Lisha Chen, Shaoping Wang","doi":"10.1109/FPM.2011.6045728","DOIUrl":null,"url":null,"abstract":"This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.","PeriodicalId":241423,"journal":{"name":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On-line identification based optimal control method\",\"authors\":\"Rongjie Kang, Z. Jiao, Lisha Chen, Shaoping Wang\",\"doi\":\"10.1109/FPM.2011.6045728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.\",\"PeriodicalId\":241423,\"journal\":{\"name\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPM.2011.6045728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPM.2011.6045728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-line identification based optimal control method
This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
