{"title":"基于改进萤火虫算法的分数阶PIλDμ控制器设计","authors":"Rishika Trivedi, P. Padhy","doi":"10.1109/ICIINFS.2016.8262928","DOIUrl":null,"url":null,"abstract":"This paper presents implementation of an optimization method based on Firefly algorithm (FA) for better tuning of the parameters of Fractional PID Controller (FOPID). The values of all the parameters of FOPID are computed using Modified Firefly Algorithm with random initial conditions. Numerical results obtained from simulations illustrate the performance of the proposed configuration. The results of the examples exhibit that the proposed Modified FA converges significantly faster. It outperforms in terms of overshoot, settling time for the plant and integral square error (ISE).","PeriodicalId":234609,"journal":{"name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design of fractional PIλDμ controller via modified firefly algorithm\",\"authors\":\"Rishika Trivedi, P. Padhy\",\"doi\":\"10.1109/ICIINFS.2016.8262928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents implementation of an optimization method based on Firefly algorithm (FA) for better tuning of the parameters of Fractional PID Controller (FOPID). The values of all the parameters of FOPID are computed using Modified Firefly Algorithm with random initial conditions. Numerical results obtained from simulations illustrate the performance of the proposed configuration. The results of the examples exhibit that the proposed Modified FA converges significantly faster. It outperforms in terms of overshoot, settling time for the plant and integral square error (ISE).\",\"PeriodicalId\":234609,\"journal\":{\"name\":\"2016 11th International Conference on Industrial and Information Systems (ICIIS)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 11th International Conference on Industrial and Information Systems (ICIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIINFS.2016.8262928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIINFS.2016.8262928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of fractional PIλDμ controller via modified firefly algorithm
This paper presents implementation of an optimization method based on Firefly algorithm (FA) for better tuning of the parameters of Fractional PID Controller (FOPID). The values of all the parameters of FOPID are computed using Modified Firefly Algorithm with random initial conditions. Numerical results obtained from simulations illustrate the performance of the proposed configuration. The results of the examples exhibit that the proposed Modified FA converges significantly faster. It outperforms in terms of overshoot, settling time for the plant and integral square error (ISE).