{"title":"Lead-Lag Compensator Design Based on Genetic Algorithms","authors":"Huey-Yang Horng","doi":"10.1109/TAAI.2012.66","DOIUrl":null,"url":null,"abstract":"The PID controllers are the most commonly used controllers in industrial applications. As is well known, the PID controllers are susceptible to noise interference and windup effect. More practical alternatives are lead-lag controllers. Traditionally, time-domain or frequency-domain methods are used to design a lead-lag controller to meet the design specifications. The main task of this article is to design a required lead-lag controller using genetic algorithms (GAs). A main feature of our approach is to include the design specifications directly into the cost function or fitness function in GA iterations. Computer simulations show that the performances of our proposed controllers are quite good.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Conference on Technologies and Applications of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAAI.2012.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The PID controllers are the most commonly used controllers in industrial applications. As is well known, the PID controllers are susceptible to noise interference and windup effect. More practical alternatives are lead-lag controllers. Traditionally, time-domain or frequency-domain methods are used to design a lead-lag controller to meet the design specifications. The main task of this article is to design a required lead-lag controller using genetic algorithms (GAs). A main feature of our approach is to include the design specifications directly into the cost function or fitness function in GA iterations. Computer simulations show that the performances of our proposed controllers are quite good.