{"title":"一种改进的混合模糊pid调谐与粒子sawm优化以提高感应电机性能","authors":"Parmjit Singh, Prince Jindal and Simerpreet Singh","doi":"10.46501/ijmtst051234","DOIUrl":null,"url":null,"abstract":"The fuzzy logic controllers are estimated as an appropriate controller because it is minimally complex method\nand did not involve any of the mathematical models. The major concern of this study is to control the\nfluctuations in speed of the induction motor through improving the conventional mechanism by utilizing the\nANFIS paradigm as controller. Therefore a new mechanism is to be projected that will execute ANFIS.\nBecause of the merits like Adaptive learning, Self-Organization, Real Time Operation, Fault Tolerance through\nRedundant Information Coding etc. The ANFIS algorithm is utilized as a speed control in the proposed work.\nIt is expected that the hybridization of ANFIS and PID controller can be useful in order to achieve the stability.\nAn optimization technique is also utilized in this study. The values of PID controller can be adjusted by an\noptimization technique that can be a PSO (Partial Swarm optimization) technique which is required to optimize\nthe values of PID controller in order to choose the best values of P, I and D. In this way, the best output results\nof the proposed work can be attained.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Improved Hybrid Fuzzy-PID Tunning With Particle Sawrm Optimization For Enhancing Induction Motor Performance\",\"authors\":\"Parmjit Singh, Prince Jindal and Simerpreet Singh\",\"doi\":\"10.46501/ijmtst051234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fuzzy logic controllers are estimated as an appropriate controller because it is minimally complex method\\nand did not involve any of the mathematical models. The major concern of this study is to control the\\nfluctuations in speed of the induction motor through improving the conventional mechanism by utilizing the\\nANFIS paradigm as controller. Therefore a new mechanism is to be projected that will execute ANFIS.\\nBecause of the merits like Adaptive learning, Self-Organization, Real Time Operation, Fault Tolerance through\\nRedundant Information Coding etc. The ANFIS algorithm is utilized as a speed control in the proposed work.\\nIt is expected that the hybridization of ANFIS and PID controller can be useful in order to achieve the stability.\\nAn optimization technique is also utilized in this study. The values of PID controller can be adjusted by an\\noptimization technique that can be a PSO (Partial Swarm optimization) technique which is required to optimize\\nthe values of PID controller in order to choose the best values of P, I and D. In this way, the best output results\\nof the proposed work can be attained.\",\"PeriodicalId\":13741,\"journal\":{\"name\":\"International Journal for Modern Trends in Science and Technology\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Modern Trends in Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46501/ijmtst051234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Modern Trends in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst051234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Hybrid Fuzzy-PID Tunning With Particle Sawrm Optimization For Enhancing Induction Motor Performance
The fuzzy logic controllers are estimated as an appropriate controller because it is minimally complex method
and did not involve any of the mathematical models. The major concern of this study is to control the
fluctuations in speed of the induction motor through improving the conventional mechanism by utilizing the
ANFIS paradigm as controller. Therefore a new mechanism is to be projected that will execute ANFIS.
Because of the merits like Adaptive learning, Self-Organization, Real Time Operation, Fault Tolerance through
Redundant Information Coding etc. The ANFIS algorithm is utilized as a speed control in the proposed work.
It is expected that the hybridization of ANFIS and PID controller can be useful in order to achieve the stability.
An optimization technique is also utilized in this study. The values of PID controller can be adjusted by an
optimization technique that can be a PSO (Partial Swarm optimization) technique which is required to optimize
the values of PID controller in order to choose the best values of P, I and D. In this way, the best output results
of the proposed work can be attained.