{"title":"热电厂无模型iPI控制器的设计与应用","authors":"A. Baciu, C. Lazar, C. Caruntu","doi":"10.1109/MED54222.2022.9837054","DOIUrl":null,"url":null,"abstract":"The automatic controllers with multiple integral components represent a special category. Although they are not so widely used for standard applications, there is a class of processes that require this type of controller. Thus, in this paper, the intelligent PI (iPI) controllers designed in the Model-Free Control paradigm are presented and compared with a PI controller. Two tuning methods are proposed for the iPI controllers, one based on a pole-placement technique and the other one based on the Iterative Feedback Tuning (IFT) strategy. The IFT algorithm hinges on an iterative data-driven approach that starts from a predesigned set of parameters for the controller and leads to an optimal set of parameters that should improve the system’s performance. To test the capabilities of the proposed design methods, a comparison between the three controllers was performed on a thermal plant used to heat-treat Mg-Li-Al based alloys, and their performances were evaluated based on a numerical analysis.","PeriodicalId":354557,"journal":{"name":"2022 30th Mediterranean Conference on Control and Automation (MED)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model-free iPI controller design and application to a thermal plant\",\"authors\":\"A. Baciu, C. Lazar, C. Caruntu\",\"doi\":\"10.1109/MED54222.2022.9837054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The automatic controllers with multiple integral components represent a special category. Although they are not so widely used for standard applications, there is a class of processes that require this type of controller. Thus, in this paper, the intelligent PI (iPI) controllers designed in the Model-Free Control paradigm are presented and compared with a PI controller. Two tuning methods are proposed for the iPI controllers, one based on a pole-placement technique and the other one based on the Iterative Feedback Tuning (IFT) strategy. The IFT algorithm hinges on an iterative data-driven approach that starts from a predesigned set of parameters for the controller and leads to an optimal set of parameters that should improve the system’s performance. To test the capabilities of the proposed design methods, a comparison between the three controllers was performed on a thermal plant used to heat-treat Mg-Li-Al based alloys, and their performances were evaluated based on a numerical analysis.\",\"PeriodicalId\":354557,\"journal\":{\"name\":\"2022 30th Mediterranean Conference on Control and Automation (MED)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 30th Mediterranean Conference on Control and Automation (MED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED54222.2022.9837054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Mediterranean Conference on Control and Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED54222.2022.9837054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model-free iPI controller design and application to a thermal plant
The automatic controllers with multiple integral components represent a special category. Although they are not so widely used for standard applications, there is a class of processes that require this type of controller. Thus, in this paper, the intelligent PI (iPI) controllers designed in the Model-Free Control paradigm are presented and compared with a PI controller. Two tuning methods are proposed for the iPI controllers, one based on a pole-placement technique and the other one based on the Iterative Feedback Tuning (IFT) strategy. The IFT algorithm hinges on an iterative data-driven approach that starts from a predesigned set of parameters for the controller and leads to an optimal set of parameters that should improve the system’s performance. To test the capabilities of the proposed design methods, a comparison between the three controllers was performed on a thermal plant used to heat-treat Mg-Li-Al based alloys, and their performances were evaluated based on a numerical analysis.