{"title":"模糊PI控制在驱动直流电动机中的应用","authors":"Adisorn Polsena, Y. Kongjeen, Rungphet Kongnok","doi":"10.1109/ICPEI49860.2020.9431542","DOIUrl":null,"url":null,"abstract":"This paper presents a comparison of PI and simplified fuzzy PI controllers for Permanent Magnet DC (PMDC) motor speed control. The aim is to make fuzzy PI controller design simpler. Reduced fuzzy rule is proposed for the fuzzy PI, while Ziegler-Nichols method is used for the standard PI controller. This less complicated design rule leads to only one input needed for the fuzzy PI; an absolute error is used. Moreover, this rule base gives further reduction of the complex calculation. Simulation and experimental tests were conducted. Results show that the proposed fuzzy PI performs better than the conventional PI controller. Also, from the comparison, it has been found that this fuzzy PI controller can make the whole drive system higher efficiency than that of the conventional PI controller; low power consumption is considered.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Fuzzy PI control for driving DC Motor using Complexity Reduction Method\",\"authors\":\"Adisorn Polsena, Y. Kongjeen, Rungphet Kongnok\",\"doi\":\"10.1109/ICPEI49860.2020.9431542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a comparison of PI and simplified fuzzy PI controllers for Permanent Magnet DC (PMDC) motor speed control. The aim is to make fuzzy PI controller design simpler. Reduced fuzzy rule is proposed for the fuzzy PI, while Ziegler-Nichols method is used for the standard PI controller. This less complicated design rule leads to only one input needed for the fuzzy PI; an absolute error is used. Moreover, this rule base gives further reduction of the complex calculation. Simulation and experimental tests were conducted. Results show that the proposed fuzzy PI performs better than the conventional PI controller. Also, from the comparison, it has been found that this fuzzy PI controller can make the whole drive system higher efficiency than that of the conventional PI controller; low power consumption is considered.\",\"PeriodicalId\":342582,\"journal\":{\"name\":\"2020 International Conference on Power, Energy and Innovations (ICPEI)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Power, Energy and Innovations (ICPEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEI49860.2020.9431542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Power, Energy and Innovations (ICPEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEI49860.2020.9431542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Fuzzy PI control for driving DC Motor using Complexity Reduction Method
This paper presents a comparison of PI and simplified fuzzy PI controllers for Permanent Magnet DC (PMDC) motor speed control. The aim is to make fuzzy PI controller design simpler. Reduced fuzzy rule is proposed for the fuzzy PI, while Ziegler-Nichols method is used for the standard PI controller. This less complicated design rule leads to only one input needed for the fuzzy PI; an absolute error is used. Moreover, this rule base gives further reduction of the complex calculation. Simulation and experimental tests were conducted. Results show that the proposed fuzzy PI performs better than the conventional PI controller. Also, from the comparison, it has been found that this fuzzy PI controller can make the whole drive system higher efficiency than that of the conventional PI controller; low power consumption is considered.
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