基于滑动DFT的电机转子系统动力学在线辨识

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI:10.1109/DEMPED.2017.8062366

Jouni Vuojolainen, N. Nevaranta, R. Jastrzebski, O. Pyrhönen

{"title":"基于滑动DFT的电机转子系统动力学在线辨识","authors":"Jouni Vuojolainen, N. Nevaranta, R. Jastrzebski, O. Pyrhönen","doi":"10.1109/DEMPED.2017.8062366","DOIUrl":null,"url":null,"abstract":"This paper presents an online nonparametric frequency response estimation approach for the identification of rotor dynamics of a high-speed machine supported by an active magnetic bearing (AMB) system. The closed-loop identification estimation approaches (direct and indirect) are based on a sliding discrete Fourier transform (SDFT) method that is applied in conjunction with a known multisine excitation signal design. The feasibility of the proposed identification approach is verified with experimental results on an AMB system. According to the results, the SDFT-based identification approach is applicable to online identification of rotor system dynamics in a computationally efficient manner.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Online identification of AMB rotor system dynamics using sliding DFT\",\"authors\":\"Jouni Vuojolainen, N. Nevaranta, R. Jastrzebski, O. Pyrhönen\",\"doi\":\"10.1109/DEMPED.2017.8062366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an online nonparametric frequency response estimation approach for the identification of rotor dynamics of a high-speed machine supported by an active magnetic bearing (AMB) system. The closed-loop identification estimation approaches (direct and indirect) are based on a sliding discrete Fourier transform (SDFT) method that is applied in conjunction with a known multisine excitation signal design. The feasibility of the proposed identification approach is verified with experimental results on an AMB system. According to the results, the SDFT-based identification approach is applicable to online identification of rotor system dynamics in a computationally efficient manner.\",\"PeriodicalId\":325413,\"journal\":{\"name\":\"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEMPED.2017.8062366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2017.8062366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种基于在线非参数频响估计的高速电机主动磁轴承转子动态辨识方法。闭环辨识估计方法(直接和间接)基于滑动离散傅立叶变换(SDFT)方法，该方法与已知的多正弦激励信号设计相结合。实验结果验证了该方法的可行性。结果表明，基于sdft的辨识方法可用于转子系统动力学的在线辨识，且计算效率高。

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

Online identification of AMB rotor system dynamics using sliding DFT

This paper presents an online nonparametric frequency response estimation approach for the identification of rotor dynamics of a high-speed machine supported by an active magnetic bearing (AMB) system. The closed-loop identification estimation approaches (direct and indirect) are based on a sliding discrete Fourier transform (SDFT) method that is applied in conjunction with a known multisine excitation signal design. The feasibility of the proposed identification approach is verified with experimental results on an AMB system. According to the results, the SDFT-based identification approach is applicable to online identification of rotor system dynamics in a computationally efficient manner.

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

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

自引率

0.00%

发文量