中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Eccentricity harmonics detection-based speed estimation approach in a sensorless induction motors

文献类型:会议论文

作者Song XJ(宋向金); Hu JT(胡静涛); Huang H(黄昊); Zhang JL(张吉龙)
出版日期2015
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
关键词eccentricity harmonics rotor speed harmonics TKEO interpolated FFT speed estimation
页码1405-1410
中文摘要This paper presents an eccentricity harmonics detection-based speed estimation method in a sensorless efficient induction motors. Because of the influence of spectrum leakage, the motor current signature signals analysis method, which is based the stator current, could not extract eccentricity directly. We first utilize Teager-Kaiser Energy Operator (TKEO) to demodulate the sampled stator currents, and then extract the speed related harmonics with weakening the fundamental frequency component. At the same time, the digital signal-processing techniques are exploited to extract the eccentricity harmonics signals, and the windowed and interpolated FFT are also be used to improve the accuracy of rotor speed estimation. Finally, by comparing the different speed estimation methods, this paper finishes the rotor speed estimation of induction motors. Experimental results show that the proposed speed estimation method can effectively extract the rotor speed harmonics under different load conditions.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号2379-7711
ISBN号978-1-4799-8730-6
WOS记录号WOS:000380502300255
源URL[http://ir.sia.cn/handle/173321/17370]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Song XJ,Hu JT,Huang H,et al. Eccentricity harmonics detection-based speed estimation approach in a sensorless induction motors[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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