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Complex-Coefficient Synchronous Frequency Filter-Based Position Estimation Error Reduction for Sensorless IPMSM Drives
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DOI：10.1109/TPEL.2022.3193221.png)
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摘要
En 中文
Accurate rotor position is significant for the back electromotive force (EMF)-based sensorless interior permanent-magnet synchronous motor (IPMSM) control. However, the +/-(6h +/- 1)th harmonics will appear obviously in the estimated back-EMF due to the effect of the inverter nonlinearity and flux spatial harmonics. These harmonics will subsequently result in the +/-(6 h)th harmonic pulsation in the estimated rotor position. In order to dealwith this issue, a new complex-coefficient synchronous frequency filter (CCSFF)-based sliding mode observer combined with a quadrature phase-locked loop (PLL) is proposed to mitigate the back-EMFvoltage distortion. Therefore, the performance of the position estimation is remarkably improved. The proposed CCSFF possesses both bandpass-filtering and frequency-adaptability characteristics. It can pass the fundamental component without magnitude attenuation and phase delay in different frequency scenarios. Moreover, the linearized model of the proposed CCSFF-PLL-based position estimation system is established and a systematic parameter design is presented to obtain promising dynamic performance. The effectiveness and feasibility of the proposed method are confirmed by experiments on a 1.5-kW IPMSM test platform.
Keyword:
Complex-coefficient synchronous frequency filter (CCSFF)
interior permanent magnet synchronous motor (IPMSM)
phase-locked loop (PLL)
sensorless
sliding mode observer (SMO)
期刊
IF:
6.5
论文数:
1.7W
被引数:
8.3W
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