K. Gnaneshwar, Rishika Trivedi, Bharat Verma, P. Padhy
{"title":"用萤火虫算法设计稳定分数阶系统的分数阶IMC控制器","authors":"K. Gnaneshwar, Rishika Trivedi, Bharat Verma, P. Padhy","doi":"10.1109/CAPS52117.2021.9730735","DOIUrl":null,"url":null,"abstract":"In this paper design of fractional order controller for stable systems based on the IMC approach is presented. The proposed method creates a filter internally; therefore, phase lag obtained by an external filter in the system response can be avoided with the proposed method. It has the capacity to regulate the transient response and robustness of the system with a single parameter. This parameter plays a vital role to obtain the optimum response. Hence, a metaheuristic algorithm is considered. Numerous performance parameters and performance are considered to examine the proposed methodology efficacy. The proposed methodology performance has been carried out under load disturbance, robustness analysis. Also, its performance has been compared with various existing techniques.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of fractional IMC controller for stable fractional order systems using firefly algorithm\",\"authors\":\"K. Gnaneshwar, Rishika Trivedi, Bharat Verma, P. Padhy\",\"doi\":\"10.1109/CAPS52117.2021.9730735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper design of fractional order controller for stable systems based on the IMC approach is presented. The proposed method creates a filter internally; therefore, phase lag obtained by an external filter in the system response can be avoided with the proposed method. It has the capacity to regulate the transient response and robustness of the system with a single parameter. This parameter plays a vital role to obtain the optimum response. Hence, a metaheuristic algorithm is considered. Numerous performance parameters and performance are considered to examine the proposed methodology efficacy. The proposed methodology performance has been carried out under load disturbance, robustness analysis. Also, its performance has been compared with various existing techniques.\",\"PeriodicalId\":445427,\"journal\":{\"name\":\"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAPS52117.2021.9730735\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAPS52117.2021.9730735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of fractional IMC controller for stable fractional order systems using firefly algorithm
In this paper design of fractional order controller for stable systems based on the IMC approach is presented. The proposed method creates a filter internally; therefore, phase lag obtained by an external filter in the system response can be avoided with the proposed method. It has the capacity to regulate the transient response and robustness of the system with a single parameter. This parameter plays a vital role to obtain the optimum response. Hence, a metaheuristic algorithm is considered. Numerous performance parameters and performance are considered to examine the proposed methodology efficacy. The proposed methodology performance has been carried out under load disturbance, robustness analysis. Also, its performance has been compared with various existing techniques.