Abstract
For permanent magnet synchronous motor (PMSM) sensorless control, accurate back electromotive force (EMF) is crucial for increasing the precision of rotor position estimation. In the traditional sensorless control based on sliding mode observer (SMO), it is necessary to filter back EMF estimated by SMO through low-pass filter (LPF) to eliminate high frequency harmonics and extract the back EMF information. However, the use of LPF results in amplitude attenuate and phase lag in the extracted back EMF information, and even with phase compensation in the estimated rotor position, there is still a large position estimation error. A frequency adaptive complex coefficient filter (FACCF), which can extract back EMF without amplitude attenuation and phase lag, is intended to replace the LPF in order to address those problems. The derived back EMF information is then processed by a normalized quadrature phase locked loop (NPLL) to identify the rotor position and speed. Results from simulations demonstrate that the technique is effective.
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