B. Berbaoui, D. Saba, R. Dehini, T. Touahri, Y. Hammaoui, A. Dahbi, Mouedj Rachid, A. Babahadj
{"title":"基于蚁群算法的模糊控制器优化并网有源滤波器","authors":"B. Berbaoui, D. Saba, R. Dehini, T. Touahri, Y. Hammaoui, A. Dahbi, Mouedj Rachid, A. Babahadj","doi":"10.1145/3447568.3448519","DOIUrl":null,"url":null,"abstract":"This work presents the plan of most favourable fuzzy logic controller (FLC-ACO) - controlled shunt active power filter (SAPF) for harmonics compensation which is injected by nonlinear loads, such as rectifier equipment system, power suppliers, home appliances, ect. at the outset, the controller designed according to Fuzzy logic rules is such that the system is fundamentally robust. In the second case, the optimal adjustment of the membership functions and normalization gains are realized by using Ant Colony Optimization. The results illustrate the most excellent dynamic behaviour and performance control compared with conventional Fuzzy controller, as well as successful in dipping harmonic electrical department university.","PeriodicalId":335307,"journal":{"name":"Proceedings of the 10th International Conference on Information Systems and Technologies","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of shunt active filter connected to electrical network system using fuzzy logic controller based on ant colony algorithm\",\"authors\":\"B. Berbaoui, D. Saba, R. Dehini, T. Touahri, Y. Hammaoui, A. Dahbi, Mouedj Rachid, A. Babahadj\",\"doi\":\"10.1145/3447568.3448519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents the plan of most favourable fuzzy logic controller (FLC-ACO) - controlled shunt active power filter (SAPF) for harmonics compensation which is injected by nonlinear loads, such as rectifier equipment system, power suppliers, home appliances, ect. at the outset, the controller designed according to Fuzzy logic rules is such that the system is fundamentally robust. In the second case, the optimal adjustment of the membership functions and normalization gains are realized by using Ant Colony Optimization. The results illustrate the most excellent dynamic behaviour and performance control compared with conventional Fuzzy controller, as well as successful in dipping harmonic electrical department university.\",\"PeriodicalId\":335307,\"journal\":{\"name\":\"Proceedings of the 10th International Conference on Information Systems and Technologies\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th International Conference on Information Systems and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3447568.3448519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th International Conference on Information Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3447568.3448519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of shunt active filter connected to electrical network system using fuzzy logic controller based on ant colony algorithm
This work presents the plan of most favourable fuzzy logic controller (FLC-ACO) - controlled shunt active power filter (SAPF) for harmonics compensation which is injected by nonlinear loads, such as rectifier equipment system, power suppliers, home appliances, ect. at the outset, the controller designed according to Fuzzy logic rules is such that the system is fundamentally robust. In the second case, the optimal adjustment of the membership functions and normalization gains are realized by using Ant Colony Optimization. The results illustrate the most excellent dynamic behaviour and performance control compared with conventional Fuzzy controller, as well as successful in dipping harmonic electrical department university.