{"title":"基于萤火虫算法的比例积分导数控制器整定","authors":"D. Kumanan, B. Nagaraj","doi":"10.1080/21642583.2013.770375","DOIUrl":null,"url":null,"abstract":"In this paper, a novel meta-heuristics algorithm, namely the firefly algorithm (FA), is applied to the proportional integral derivative (PID) controller parameter tuning for flow process. The controller is used to control flow rate and to maintain the desired set point. Simulation results indicate that the applied FA is effective and efficient. Good closed-loop system performance is achieved on the basis of the considered PID controllers tuning procedures. Moreover, the observed results are compared with the ones obtained by the Ziegler–Nichols method. The comparison of both meta-heuristics shows a superior performance for the FA PID controller tuning of the considered system than the Ziegler–Nichols tuned controller.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Tuning of proportional integral derivative controller based on firefly algorithm\",\"authors\":\"D. Kumanan, B. Nagaraj\",\"doi\":\"10.1080/21642583.2013.770375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel meta-heuristics algorithm, namely the firefly algorithm (FA), is applied to the proportional integral derivative (PID) controller parameter tuning for flow process. The controller is used to control flow rate and to maintain the desired set point. Simulation results indicate that the applied FA is effective and efficient. Good closed-loop system performance is achieved on the basis of the considered PID controllers tuning procedures. Moreover, the observed results are compared with the ones obtained by the Ziegler–Nichols method. The comparison of both meta-heuristics shows a superior performance for the FA PID controller tuning of the considered system than the Ziegler–Nichols tuned controller.\",\"PeriodicalId\":22127,\"journal\":{\"name\":\"Systems Science & Control Engineering: An Open Access Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systems Science & Control Engineering: An Open Access Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/21642583.2013.770375\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Science & Control Engineering: An Open Access Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21642583.2013.770375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tuning of proportional integral derivative controller based on firefly algorithm
In this paper, a novel meta-heuristics algorithm, namely the firefly algorithm (FA), is applied to the proportional integral derivative (PID) controller parameter tuning for flow process. The controller is used to control flow rate and to maintain the desired set point. Simulation results indicate that the applied FA is effective and efficient. Good closed-loop system performance is achieved on the basis of the considered PID controllers tuning procedures. Moreover, the observed results are compared with the ones obtained by the Ziegler–Nichols method. The comparison of both meta-heuristics shows a superior performance for the FA PID controller tuning of the considered system than the Ziegler–Nichols tuned controller.