基于多时间尺度技术的同步电机参数辨识

Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting Pub Date : 1992-10-04 DOI:10.1109/IAS.1992.244297

O. Touhami, H. Guesbaoui, C. Iung

{"title":"基于多时间尺度技术的同步电机参数辨识","authors":"O. Touhami, H. Guesbaoui, C. Iung","doi":"10.1109/IAS.1992.244297","DOIUrl":null,"url":null,"abstract":"The authors propose a novel method for synchronous machine parameter identification. They use the multi-time-scale decompositions to reduce the operational reactances. The identification method is based on the frequency responses. The synchronous machine is at standstill and supplied by pseudorandom binary sequence voltages. The output data are the currents in the windings. All the Park's model parameters of an alternator of 13.5 kVA/19.5 A/50 Hz are estimated by an autoregressive external input model structure.<<ETX>>","PeriodicalId":110710,"journal":{"name":"Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Synchronous machine parameter identification by a multi-time scale technique\",\"authors\":\"O. Touhami, H. Guesbaoui, C. Iung\",\"doi\":\"10.1109/IAS.1992.244297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors propose a novel method for synchronous machine parameter identification. They use the multi-time-scale decompositions to reduce the operational reactances. The identification method is based on the frequency responses. The synchronous machine is at standstill and supplied by pseudorandom binary sequence voltages. The output data are the currents in the windings. All the Park's model parameters of an alternator of 13.5 kVA/19.5 A/50 Hz are estimated by an autoregressive external input model structure.<<ETX>>\",\"PeriodicalId\":110710,\"journal\":{\"name\":\"Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.1992.244297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.1992.244297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 22

摘要

提出了一种同步电机参数辨识的新方法。他们使用多时间尺度分解来降低操作电抗。识别方法是基于频率响应。同步电机处于静止状态，由伪随机二进制序列电压供电。输出数据是绕组中的电流。用自回归外部输入模型结构估计了13.5 kVA/19.5 A/50 Hz交流发电机的所有模型参数

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Synchronous machine parameter identification by a multi-time scale technique

The authors propose a novel method for synchronous machine parameter identification. They use the multi-time-scale decompositions to reduce the operational reactances. The identification method is based on the frequency responses. The synchronous machine is at standstill and supplied by pseudorandom binary sequence voltages. The output data are the currents in the windings. All the Park's model parameters of an alternator of 13.5 kVA/19.5 A/50 Hz are estimated by an autoregressive external input model structure.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting

自引率

0.00%

发文量