{"title":"不同隶属函数的模糊pid控制单相静态无功补偿器的比较","authors":"Yalcin Dogrul, Y. Aslan","doi":"10.1109/ISFEE.2016.7803169","DOIUrl":null,"url":null,"abstract":"The present study was conducted using static reactive power compensator (SVC), and fixed capacity-thyristor controlled reactor (FC-TCR). In the study, PID (Proportional-Integral-Derivate) parameters were adjusted to self-adjusting mode via fuzzy logic (FL) applications of Fuzzy-PID algorithm with triangle, trapezoid membership functions (Model 1) and Fuzzy-PID algorithm with gauss and sigmoid membership functions (Model 2). The performance of two models with different membership functions was compared. The compensator was controlled with programmable logic controller (PLC). Additionally, the system was monitored and controlled during the whole process with SCADA (Supervisory Control and Data Acquisition) system.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparison of Fuzzy-PID controlled single phase static reactive power compensator with different membership functions\",\"authors\":\"Yalcin Dogrul, Y. Aslan\",\"doi\":\"10.1109/ISFEE.2016.7803169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study was conducted using static reactive power compensator (SVC), and fixed capacity-thyristor controlled reactor (FC-TCR). In the study, PID (Proportional-Integral-Derivate) parameters were adjusted to self-adjusting mode via fuzzy logic (FL) applications of Fuzzy-PID algorithm with triangle, trapezoid membership functions (Model 1) and Fuzzy-PID algorithm with gauss and sigmoid membership functions (Model 2). The performance of two models with different membership functions was compared. The compensator was controlled with programmable logic controller (PLC). Additionally, the system was monitored and controlled during the whole process with SCADA (Supervisory Control and Data Acquisition) system.\",\"PeriodicalId\":240170,\"journal\":{\"name\":\"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISFEE.2016.7803169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISFEE.2016.7803169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
本研究采用静态无功补偿器(SVC)和固定容量晶闸管控制电抗器(FC-TCR)进行。本研究通过模糊逻辑(FL)将具有三角形、梯形隶属函数的fuzzy -PID算法(模型1)和具有高斯、s型隶属函数的fuzzy -PID算法(模型2)调整到自调整模式,比较了具有不同隶属函数的两种模型的性能。补偿器采用可编程控制器(PLC)控制。此外,采用SCADA (Supervisory Control and Data Acquisition)系统对整个过程进行监控。
Comparison of Fuzzy-PID controlled single phase static reactive power compensator with different membership functions
The present study was conducted using static reactive power compensator (SVC), and fixed capacity-thyristor controlled reactor (FC-TCR). In the study, PID (Proportional-Integral-Derivate) parameters were adjusted to self-adjusting mode via fuzzy logic (FL) applications of Fuzzy-PID algorithm with triangle, trapezoid membership functions (Model 1) and Fuzzy-PID algorithm with gauss and sigmoid membership functions (Model 2). The performance of two models with different membership functions was compared. The compensator was controlled with programmable logic controller (PLC). Additionally, the system was monitored and controlled during the whole process with SCADA (Supervisory Control and Data Acquisition) system.