{"title":"蚁群优化PID控制器设计","authors":"Y. Hsiao, Cheng-Long Chuang, Cheng-Chih Chien","doi":"10.1109/CACSD.2004.1393896","DOIUrl":null,"url":null,"abstract":"This work presents an optimum approach to design PID controllers. The primary design goal is to obtain good load disturbance response by minimizing the integral absolute control error. At the same time, the transient response is guaranteed by minimizing the maximum overshoot, settling time, rise time of step response. This study proposes a solution algorithm based on the ant colony optimization technique to determine the parameters of the PID controller for getting a well performance for a given plant. Simulation results demonstrate that better control performance can be achieved in comparison with known methods","PeriodicalId":111199,"journal":{"name":"2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"79","resultStr":"{\"title\":\"Ant colony optimization for designing of PID controllers\",\"authors\":\"Y. Hsiao, Cheng-Long Chuang, Cheng-Chih Chien\",\"doi\":\"10.1109/CACSD.2004.1393896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents an optimum approach to design PID controllers. The primary design goal is to obtain good load disturbance response by minimizing the integral absolute control error. At the same time, the transient response is guaranteed by minimizing the maximum overshoot, settling time, rise time of step response. This study proposes a solution algorithm based on the ant colony optimization technique to determine the parameters of the PID controller for getting a well performance for a given plant. Simulation results demonstrate that better control performance can be achieved in comparison with known methods\",\"PeriodicalId\":111199,\"journal\":{\"name\":\"2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"79\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACSD.2004.1393896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACSD.2004.1393896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ant colony optimization for designing of PID controllers
This work presents an optimum approach to design PID controllers. The primary design goal is to obtain good load disturbance response by minimizing the integral absolute control error. At the same time, the transient response is guaranteed by minimizing the maximum overshoot, settling time, rise time of step response. This study proposes a solution algorithm based on the ant colony optimization technique to determine the parameters of the PID controller for getting a well performance for a given plant. Simulation results demonstrate that better control performance can be achieved in comparison with known methods