{"title":"基于生长激素双调控原理的解耦控制","authors":"Bao Liu, Hua Han, Yongsheng Ding","doi":"10.1109/CIMA.2005.1662297","DOIUrl":null,"url":null,"abstract":"Since the conventional decoupling algorithms are complicated and difficult to be implemented, we present a bio-imitated decoupling controller based on the bi-regulation principle of growth hormone (GH), and provide its decoupling algorithm. It has two or more control units. Every control unit consists of a control module, a decoupling distributing module, and an output module. These units communicate with each other to exchange control information, and then adjust the actuators harmoniously. The decoupling algorithm is simpler than any other decoupling algorithm, and can be implemented more easily. As a result, the process can be controlled stably, and the coupling influences among the various loops can be removed. Simulation results demonstrate that the decoupling scheme can completely eliminate the coupling influence, and has better control performance","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A decoupling control based on the bi-regulation principle of growth hormone\",\"authors\":\"Bao Liu, Hua Han, Yongsheng Ding\",\"doi\":\"10.1109/CIMA.2005.1662297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since the conventional decoupling algorithms are complicated and difficult to be implemented, we present a bio-imitated decoupling controller based on the bi-regulation principle of growth hormone (GH), and provide its decoupling algorithm. It has two or more control units. Every control unit consists of a control module, a decoupling distributing module, and an output module. These units communicate with each other to exchange control information, and then adjust the actuators harmoniously. The decoupling algorithm is simpler than any other decoupling algorithm, and can be implemented more easily. As a result, the process can be controlled stably, and the coupling influences among the various loops can be removed. Simulation results demonstrate that the decoupling scheme can completely eliminate the coupling influence, and has better control performance\",\"PeriodicalId\":306045,\"journal\":{\"name\":\"2005 ICSC Congress on Computational Intelligence Methods and Applications\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 ICSC Congress on Computational Intelligence Methods and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIMA.2005.1662297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 ICSC Congress on Computational Intelligence Methods and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMA.2005.1662297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A decoupling control based on the bi-regulation principle of growth hormone
Since the conventional decoupling algorithms are complicated and difficult to be implemented, we present a bio-imitated decoupling controller based on the bi-regulation principle of growth hormone (GH), and provide its decoupling algorithm. It has two or more control units. Every control unit consists of a control module, a decoupling distributing module, and an output module. These units communicate with each other to exchange control information, and then adjust the actuators harmoniously. The decoupling algorithm is simpler than any other decoupling algorithm, and can be implemented more easily. As a result, the process can be controlled stably, and the coupling influences among the various loops can be removed. Simulation results demonstrate that the decoupling scheme can completely eliminate the coupling influence, and has better control performance