面向互联AGC系统的COR优化FUZZY-PI控制器

Sunita Patel, B. Mohanty
{"title":"面向互联AGC系统的COR优化FUZZY-PI控制器","authors":"Sunita Patel, B. Mohanty","doi":"10.1109/AESPC44649.2018.9033394","DOIUrl":null,"url":null,"abstract":"Two area non-reheat thermal system considered to optimize by using Competition Over Resources optimization algorithm (COR) by using Fuzzy Logic Controller (FLC) based Proportional-Integral (PI) controller. FLC based PI controller can be employed where the gain of the controller can be optimized by using Competition over resources (COR) optimization algorithm. Objective function Integral Time Absolute Error (ITAE) is taken for the system under study. Superiority of the proposed COR method has been shown by comparing the dynamic performance with Imperialist competitive Algorithm (ICA) based Fuzzy-PI controller, Genetic algorithm (GA) based PI controller, Particle swarm optimization algorithm (PSO) based PI controller, Bacteria foraging optimization algorithm (BFOA) based PI controller, hybrid bacteria foraging optimization algorithm and particle swarm optimization algorithm (hBFOA-PSO) based PI, for the same interconnected system. Corresponding performance index can be calculated in terms of Integral Time multiplied Absolute error (ITAE) and settling time (Ts). Sensitivity analysis is performed with system parameter variation.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A COR Optimized FUZZY-PI controller for interconnected AGC system\",\"authors\":\"Sunita Patel, B. Mohanty\",\"doi\":\"10.1109/AESPC44649.2018.9033394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two area non-reheat thermal system considered to optimize by using Competition Over Resources optimization algorithm (COR) by using Fuzzy Logic Controller (FLC) based Proportional-Integral (PI) controller. FLC based PI controller can be employed where the gain of the controller can be optimized by using Competition over resources (COR) optimization algorithm. Objective function Integral Time Absolute Error (ITAE) is taken for the system under study. Superiority of the proposed COR method has been shown by comparing the dynamic performance with Imperialist competitive Algorithm (ICA) based Fuzzy-PI controller, Genetic algorithm (GA) based PI controller, Particle swarm optimization algorithm (PSO) based PI controller, Bacteria foraging optimization algorithm (BFOA) based PI controller, hybrid bacteria foraging optimization algorithm and particle swarm optimization algorithm (hBFOA-PSO) based PI, for the same interconnected system. Corresponding performance index can be calculated in terms of Integral Time multiplied Absolute error (ITAE) and settling time (Ts). Sensitivity analysis is performed with system parameter variation.\",\"PeriodicalId\":222759,\"journal\":{\"name\":\"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AESPC44649.2018.9033394\",\"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 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AESPC44649.2018.9033394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

采用基于模糊逻辑控制器(FLC)的比例积分(PI)控制器,考虑采用资源竞争优化算法对两区非再热热力系统进行优化。可以采用基于FLC的PI控制器,其中控制器的增益可以通过使用资源竞争(COR)优化算法进行优化。系统采用目标函数积分时间绝对误差(ITAE)。通过与基于帝国主义竞争算法(ICA)的模糊PI控制器、基于遗传算法(GA)的PI控制器、基于粒子群优化算法(PSO)的PI控制器、基于细菌觅食优化算法(BFOA)的PI控制器、基于混合细菌觅食优化算法和基于粒子群优化算法(hBFOA-PSO)的PI控制器对同一互联系统的动态性能进行比较,证明了COR方法的优越性。相应的性能指标可以用积分时间乘以绝对误差(ITAE)和沉降时间(Ts)来计算。对系统参数的变化进行了敏感性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A COR Optimized FUZZY-PI controller for interconnected AGC system
Two area non-reheat thermal system considered to optimize by using Competition Over Resources optimization algorithm (COR) by using Fuzzy Logic Controller (FLC) based Proportional-Integral (PI) controller. FLC based PI controller can be employed where the gain of the controller can be optimized by using Competition over resources (COR) optimization algorithm. Objective function Integral Time Absolute Error (ITAE) is taken for the system under study. Superiority of the proposed COR method has been shown by comparing the dynamic performance with Imperialist competitive Algorithm (ICA) based Fuzzy-PI controller, Genetic algorithm (GA) based PI controller, Particle swarm optimization algorithm (PSO) based PI controller, Bacteria foraging optimization algorithm (BFOA) based PI controller, hybrid bacteria foraging optimization algorithm and particle swarm optimization algorithm (hBFOA-PSO) based PI, for the same interconnected system. Corresponding performance index can be calculated in terms of Integral Time multiplied Absolute error (ITAE) and settling time (Ts). Sensitivity analysis is performed with system parameter variation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信