{"title":"感应电机直接转矩控制的模糊实现","authors":"P. Narasimham, A. Sarma, G. Pranava, R. Sriram","doi":"10.1109/IICPE.2006.4685407","DOIUrl":null,"url":null,"abstract":"Fuzzy implementation of direct torque control of induction machine is presented here. Error of stator flux, error of motor electromagnetic torque and position of angle of flux are taken as fuzzy variables, voltage vector of inverter is selected through fuzzy decision. Simulation results shows that ripple content of torque is reduced compared with conventional direct torque control (DTC). It also improves torque rise time and torque response during an abrupt change in command torque.","PeriodicalId":227812,"journal":{"name":"2006 India International Conference on Power Electronics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fuzzy implementation of Direct Torque Control of Induction machine\",\"authors\":\"P. Narasimham, A. Sarma, G. Pranava, R. Sriram\",\"doi\":\"10.1109/IICPE.2006.4685407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy implementation of direct torque control of induction machine is presented here. Error of stator flux, error of motor electromagnetic torque and position of angle of flux are taken as fuzzy variables, voltage vector of inverter is selected through fuzzy decision. Simulation results shows that ripple content of torque is reduced compared with conventional direct torque control (DTC). It also improves torque rise time and torque response during an abrupt change in command torque.\",\"PeriodicalId\":227812,\"journal\":{\"name\":\"2006 India International Conference on Power Electronics\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 India International Conference on Power Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICPE.2006.4685407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 India International Conference on Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICPE.2006.4685407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy implementation of Direct Torque Control of Induction machine
Fuzzy implementation of direct torque control of induction machine is presented here. Error of stator flux, error of motor electromagnetic torque and position of angle of flux are taken as fuzzy variables, voltage vector of inverter is selected through fuzzy decision. Simulation results shows that ripple content of torque is reduced compared with conventional direct torque control (DTC). It also improves torque rise time and torque response during an abrupt change in command torque.