{"title":"采用基于Box进化优化和基于教师-学习者优化的混合优化技术对PID控制器进行整定","authors":"Vinay Pratap Singh, N. Patnana, S. P. Singh","doi":"10.1504/ijcaet.2020.10029108","DOIUrl":null,"url":null,"abstract":"In this paper, a hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation (BEO-TLBO) is proposed for proportional-integral-derivative (PID) controller tuning of level control of three-tank system. The integral-square-error (ISE) of unit step response is minimised for obtaining optimal controller parameters. The ISE is designed in terms of alpha and beta parameters. In BEO-TLBO, a global search is first carried out over the entire search space to determine the set of desired controller parameters using teacher-learner-based-optimisation (TLBO). The search is then refined in the second stage using Box's evolutionary optimisation (BEO). The results obtained using BEO-TLBO are compared with other existing techniques. Computer simulations reveal that the hybrid optimisation based approach meets the desired specifications with greater accuracy as compared to the other existing methods.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"PID controller tuning using hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation\",\"authors\":\"Vinay Pratap Singh, N. Patnana, S. P. Singh\",\"doi\":\"10.1504/ijcaet.2020.10029108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation (BEO-TLBO) is proposed for proportional-integral-derivative (PID) controller tuning of level control of three-tank system. The integral-square-error (ISE) of unit step response is minimised for obtaining optimal controller parameters. The ISE is designed in terms of alpha and beta parameters. In BEO-TLBO, a global search is first carried out over the entire search space to determine the set of desired controller parameters using teacher-learner-based-optimisation (TLBO). The search is then refined in the second stage using Box's evolutionary optimisation (BEO). The results obtained using BEO-TLBO are compared with other existing techniques. Computer simulations reveal that the hybrid optimisation based approach meets the desired specifications with greater accuracy as compared to the other existing methods.\",\"PeriodicalId\":346646,\"journal\":{\"name\":\"Int. J. Comput. Aided Eng. Technol.\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Comput. Aided Eng. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijcaet.2020.10029108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Aided Eng. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcaet.2020.10029108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PID controller tuning using hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation
In this paper, a hybrid optimisation technique based on Box's evolutionary optimisation and teacher-learner-based-optimisation (BEO-TLBO) is proposed for proportional-integral-derivative (PID) controller tuning of level control of three-tank system. The integral-square-error (ISE) of unit step response is minimised for obtaining optimal controller parameters. The ISE is designed in terms of alpha and beta parameters. In BEO-TLBO, a global search is first carried out over the entire search space to determine the set of desired controller parameters using teacher-learner-based-optimisation (TLBO). The search is then refined in the second stage using Box's evolutionary optimisation (BEO). The results obtained using BEO-TLBO are compared with other existing techniques. Computer simulations reveal that the hybrid optimisation based approach meets the desired specifications with greater accuracy as compared to the other existing methods.