{"title":"基于两个离散时间分数阶算子的分数阶、变阶PID控制器的实现","authors":"D. Mozyrska, Piotr Oziablo, M. Wyrwas","doi":"10.1109/ICCMA46720.2019.8988684","DOIUrl":null,"url":null,"abstract":"In the paper we discuss two kinds of fractional-, variable-order PID controllers, which are based on two different Grünwald-Letnikov fractional-order backward difference definitions. Additionally, the algorithms of finding Kp, Ki, Kd parameters and order values of controllers are described. The algorithms use Nelder-Mead method to find parameters by minimazing given error criteria. The results of unit step-response of both implementations are presented in a graphical form and evaluated using overshoot levels, rise time and two error criteria which are integral squared time weighted error (SSTE) and integral squared time-squared weighted error (SST2E).","PeriodicalId":377212,"journal":{"name":"2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fractional-, variable-order PID controller implementation based on two discrete-time fractional order operators\",\"authors\":\"D. Mozyrska, Piotr Oziablo, M. Wyrwas\",\"doi\":\"10.1109/ICCMA46720.2019.8988684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper we discuss two kinds of fractional-, variable-order PID controllers, which are based on two different Grünwald-Letnikov fractional-order backward difference definitions. Additionally, the algorithms of finding Kp, Ki, Kd parameters and order values of controllers are described. The algorithms use Nelder-Mead method to find parameters by minimazing given error criteria. The results of unit step-response of both implementations are presented in a graphical form and evaluated using overshoot levels, rise time and two error criteria which are integral squared time weighted error (SSTE) and integral squared time-squared weighted error (SST2E).\",\"PeriodicalId\":377212,\"journal\":{\"name\":\"2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)\",\"volume\":\"312 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMA46720.2019.8988684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMA46720.2019.8988684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional-, variable-order PID controller implementation based on two discrete-time fractional order operators
In the paper we discuss two kinds of fractional-, variable-order PID controllers, which are based on two different Grünwald-Letnikov fractional-order backward difference definitions. Additionally, the algorithms of finding Kp, Ki, Kd parameters and order values of controllers are described. The algorithms use Nelder-Mead method to find parameters by minimazing given error criteria. The results of unit step-response of both implementations are presented in a graphical form and evaluated using overshoot levels, rise time and two error criteria which are integral squared time weighted error (SSTE) and integral squared time-squared weighted error (SST2E).