A. Venkadesan, S. Himavathi, A. Muthuramalingam, K. Sedhuraman
{"title":"基于人工神经网络的矢量控制IM驱动器转子电阻估计方法","authors":"A. Venkadesan, S. Himavathi, A. Muthuramalingam, K. Sedhuraman","doi":"10.1109/ICSCAN.2018.8541240","DOIUrl":null,"url":null,"abstract":"In this paper, artificial neural network (ANN) is proposed to estimate d and q-axis rotor fluxes for rotor resistance estimation. Accurate value of rotor resistance is essential for good performance of vector controlled IM drive. The rotor resistance can be estimated from state synthesis equations. The state synthesis equations (SSE) demand the need of flux components. Conventional Voltage model (VM) used for flux computation fails due to low speed problems. Hence, ANN is proposed for flux computation. The proposed ANN based flux estimator is shown to perform well for various test conditions for rotor resistance estimation and overcome the low problems.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"ANN based Flux Estimator for Rotor Resistance Estimation in Vector Controlled IM Drives\",\"authors\":\"A. Venkadesan, S. Himavathi, A. Muthuramalingam, K. Sedhuraman\",\"doi\":\"10.1109/ICSCAN.2018.8541240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, artificial neural network (ANN) is proposed to estimate d and q-axis rotor fluxes for rotor resistance estimation. Accurate value of rotor resistance is essential for good performance of vector controlled IM drive. The rotor resistance can be estimated from state synthesis equations. The state synthesis equations (SSE) demand the need of flux components. Conventional Voltage model (VM) used for flux computation fails due to low speed problems. Hence, ANN is proposed for flux computation. The proposed ANN based flux estimator is shown to perform well for various test conditions for rotor resistance estimation and overcome the low problems.\",\"PeriodicalId\":378798,\"journal\":{\"name\":\"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN.2018.8541240\",\"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 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN.2018.8541240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANN based Flux Estimator for Rotor Resistance Estimation in Vector Controlled IM Drives
In this paper, artificial neural network (ANN) is proposed to estimate d and q-axis rotor fluxes for rotor resistance estimation. Accurate value of rotor resistance is essential for good performance of vector controlled IM drive. The rotor resistance can be estimated from state synthesis equations. The state synthesis equations (SSE) demand the need of flux components. Conventional Voltage model (VM) used for flux computation fails due to low speed problems. Hence, ANN is proposed for flux computation. The proposed ANN based flux estimator is shown to perform well for various test conditions for rotor resistance estimation and overcome the low problems.