{"title":"用于逆变器的离散单输入PI模糊控制器","authors":"S. Ayob, Zainal Salam, N. A. Azli","doi":"10.1109/IECON.2007.4460087","DOIUrl":null,"url":null,"abstract":"In this paper, a discrete single input PI Fuzzy controller for inverter applications is presented. In contrary to the typical PI Fuzzy which requires minimum of two inputs variables, the proposed controller requires only one input. However the performance of the controller is not degraded. The reduction in the number of inputs minimized the number of fuzzy rules, tuning parameters and thus simplifies the overall fuzzy controller design. Furthermore, with single input, the input-output mapping can be presented as a simple control surface. In this case, it is mapped as a piecewise linear and can be realized by using a simple look-up table. As a result, a faster fuzzy calculation can be achieved using an inexpensive digital processor. A design example of the proposed controller for a single phase inverter is outlined. Using Matlab simulations, it can be shown that the proposed controller exhibits equivalent performance with the typical PI fuzzy controller.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A Discrete Single Input PI Fuzzy Controller for Inverter Applications\",\"authors\":\"S. Ayob, Zainal Salam, N. A. Azli\",\"doi\":\"10.1109/IECON.2007.4460087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a discrete single input PI Fuzzy controller for inverter applications is presented. In contrary to the typical PI Fuzzy which requires minimum of two inputs variables, the proposed controller requires only one input. However the performance of the controller is not degraded. The reduction in the number of inputs minimized the number of fuzzy rules, tuning parameters and thus simplifies the overall fuzzy controller design. Furthermore, with single input, the input-output mapping can be presented as a simple control surface. In this case, it is mapped as a piecewise linear and can be realized by using a simple look-up table. As a result, a faster fuzzy calculation can be achieved using an inexpensive digital processor. A design example of the proposed controller for a single phase inverter is outlined. Using Matlab simulations, it can be shown that the proposed controller exhibits equivalent performance with the typical PI fuzzy controller.\",\"PeriodicalId\":199609,\"journal\":{\"name\":\"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2007.4460087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2007.4460087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Discrete Single Input PI Fuzzy Controller for Inverter Applications
In this paper, a discrete single input PI Fuzzy controller for inverter applications is presented. In contrary to the typical PI Fuzzy which requires minimum of two inputs variables, the proposed controller requires only one input. However the performance of the controller is not degraded. The reduction in the number of inputs minimized the number of fuzzy rules, tuning parameters and thus simplifies the overall fuzzy controller design. Furthermore, with single input, the input-output mapping can be presented as a simple control surface. In this case, it is mapped as a piecewise linear and can be realized by using a simple look-up table. As a result, a faster fuzzy calculation can be achieved using an inexpensive digital processor. A design example of the proposed controller for a single phase inverter is outlined. Using Matlab simulations, it can be shown that the proposed controller exhibits equivalent performance with the typical PI fuzzy controller.