期刊
IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 36, 期 11, 页码 12196-12201出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2021.3079476
关键词
Capacitance; Estimation; Capacitors; Inverters; Harmonic analysis; Frequency estimation; Band-pass filters; Motor drive; online capacitance estimation; reduced dc-link capacitance
资金
- Research Fund for the National Natural Science Foundation of China [52007039, 51877054, 51961130385]
- Power Electronics Science and Education Development Program of Delta Group [DREM2018001]
- China Postdoctoral Science Foundation [BX20190096, 2019M661281]
- Heilongjiang Provincial Postdoctoral Science Foundation [LBH-Z19016, LBH-TZ2013]
An online dc-link capacitance estimation method is investigated for reduced capacitance IPMSM drives, which does not require additional signal injection or sensors. The power coupling characteristics are analyzed to obtain the instantaneous power of the dc-link capacitor, and a bandpass filter is applied to extract the necessary voltage and power components for estimation. The proposed method is experimentally proven to have an estimation error within 1%.
In order to extend the lifetime and save the system cost, the film capacitor is applied to the dc link of interior permanent magnet synchronous motor (IPMSM) drives. Many active damping control methods have been carried out to improve the drive system stability, which needs the accurate value of the dc-link film capacitor. In this letter, an online dc-link capacitance estimation method is investigated for reduced capacitance IPMSM drives, which do not need any additional signal injection or sensor. The power coupling characteristics are analyzed to obtain the instantaneous power of the dc-link capacitor from the inverter and the grid sides. The bandpass filter is applied to extract the dc-link voltage and capacitor power with twice the frequency of the grid voltage. The dc-link capacitance could be estimated by the fundamental component of the dc-link voltage. The proposed method can be used for different kinds of load types and motor types of the drive system. The experimental results are performed to verify the estimation method, and the estimation error is within 1%.
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