{"title":"直流电机转速控制的分数阶PID控制器设计","authors":"V. Mehra, S. Srivastava, P. Varshney","doi":"10.1109/ICETET.2010.123","DOIUrl":null,"url":null,"abstract":"— This paper deals speed control of a DC motor using fractional-order control. Fractional calculus provides novel and higher performance extensions for fractional order proportional integral and derivative (FOPID) controller. In this paper, the parameters of the FOPID controller are optimally learned by using Genetic Algorithm (GA), and the optimization performance target is chosen as the integral of the absolute error (IAE). Simulation results show that the FOPID controller performs better than the integer order PID controller.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"Fractional-Order PID Controller Design for Speed Control of DC Motor\",\"authors\":\"V. Mehra, S. Srivastava, P. Varshney\",\"doi\":\"10.1109/ICETET.2010.123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"— This paper deals speed control of a DC motor using fractional-order control. Fractional calculus provides novel and higher performance extensions for fractional order proportional integral and derivative (FOPID) controller. In this paper, the parameters of the FOPID controller are optimally learned by using Genetic Algorithm (GA), and the optimization performance target is chosen as the integral of the absolute error (IAE). Simulation results show that the FOPID controller performs better than the integer order PID controller.\",\"PeriodicalId\":175615,\"journal\":{\"name\":\"2010 3rd International Conference on Emerging Trends in Engineering and Technology\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Emerging Trends in Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETET.2010.123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET.2010.123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional-Order PID Controller Design for Speed Control of DC Motor
— This paper deals speed control of a DC motor using fractional-order control. Fractional calculus provides novel and higher performance extensions for fractional order proportional integral and derivative (FOPID) controller. In this paper, the parameters of the FOPID controller are optimally learned by using Genetic Algorithm (GA), and the optimization performance target is chosen as the integral of the absolute error (IAE). Simulation results show that the FOPID controller performs better than the integer order PID controller.