{"title":"STATCOM的自适应RBF滑模控制:电压控制应用:*注:字幕不捕获在Xplore,不应使用","authors":"Zahid Afzal Thoker, S. A. Lone","doi":"10.1109/CAPS52117.2021.9730625","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive RBF neural network-based sliding mode control scheme is implemented over STAT-COM to improve the voltage response of an isolated wind-diesel power system. Sliding mode control as a robust control scheme is developed on the basis of switching surface design, however, it leaves the drawback of chattering. Therefore, RBF neural network is used as adaptive control along with traditional sliding mode control to obtain the improved and chattering free voltage response. Simulations using MATLAB are carried out and the performance of the system is evaluated with the system exposed to load and wind power disturbances.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive RBF sliding mode control of STATCOM: A voltage control application: *Note: Sub-titles are not captured in Xplore and should not be used\",\"authors\":\"Zahid Afzal Thoker, S. A. Lone\",\"doi\":\"10.1109/CAPS52117.2021.9730625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an adaptive RBF neural network-based sliding mode control scheme is implemented over STAT-COM to improve the voltage response of an isolated wind-diesel power system. Sliding mode control as a robust control scheme is developed on the basis of switching surface design, however, it leaves the drawback of chattering. Therefore, RBF neural network is used as adaptive control along with traditional sliding mode control to obtain the improved and chattering free voltage response. Simulations using MATLAB are carried out and the performance of the system is evaluated with the system exposed to load and wind power disturbances.\",\"PeriodicalId\":445427,\"journal\":{\"name\":\"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAPS52117.2021.9730625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAPS52117.2021.9730625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive RBF sliding mode control of STATCOM: A voltage control application: *Note: Sub-titles are not captured in Xplore and should not be used
In this paper, an adaptive RBF neural network-based sliding mode control scheme is implemented over STAT-COM to improve the voltage response of an isolated wind-diesel power system. Sliding mode control as a robust control scheme is developed on the basis of switching surface design, however, it leaves the drawback of chattering. Therefore, RBF neural network is used as adaptive control along with traditional sliding mode control to obtain the improved and chattering free voltage response. Simulations using MATLAB are carried out and the performance of the system is evaluated with the system exposed to load and wind power disturbances.