{"title":"采用遗传算法设计双曲正切加权误差函数的PID控制器","authors":"Bharat Verma, P. Padhy","doi":"10.1109/SPIN.2018.8474095","DOIUrl":null,"url":null,"abstract":"The square-of-error functions, such as Integral Square Error (ISE) and Integral Time Square Error (ITSE), are mostly used objective functions for controller design. In this paper, a new Tan Hyperbolic function weighted performance index is proposed for optimal PID controller design. The proposed objective function gives better PID controller design with improved robustness level than the Integral Square Error. The proposed method is validated with the help of two MATLAB Simulation examples with Genetic Algorithm.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"PID controller design with Hyperbolic Tangent weighted error function using GA\",\"authors\":\"Bharat Verma, P. Padhy\",\"doi\":\"10.1109/SPIN.2018.8474095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The square-of-error functions, such as Integral Square Error (ISE) and Integral Time Square Error (ITSE), are mostly used objective functions for controller design. In this paper, a new Tan Hyperbolic function weighted performance index is proposed for optimal PID controller design. The proposed objective function gives better PID controller design with improved robustness level than the Integral Square Error. The proposed method is validated with the help of two MATLAB Simulation examples with Genetic Algorithm.\",\"PeriodicalId\":184596,\"journal\":{\"name\":\"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIN.2018.8474095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIN.2018.8474095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PID controller design with Hyperbolic Tangent weighted error function using GA
The square-of-error functions, such as Integral Square Error (ISE) and Integral Time Square Error (ITSE), are mostly used objective functions for controller design. In this paper, a new Tan Hyperbolic function weighted performance index is proposed for optimal PID controller design. The proposed objective function gives better PID controller design with improved robustness level than the Integral Square Error. The proposed method is validated with the help of two MATLAB Simulation examples with Genetic Algorithm.