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4. Frequency-Adaptive Complex-Coefficient Filter-Based Enhanced Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor Drives

Author

Liu Xingya, Kaitao Bi, Quntao An, Alexander Shamekov, Jian Qiu Zhang, and Qi An

Subjects
010302 applied physics, Observer (quantum physics), Computer science, Attenuation, 020208 electrical & electronic engineering, 02 engineering and technology, Filter (signal processing), 01 natural sciences, Industrial and Manufacturing Engineering, Phase-locked loop, Amplitude, Control and Systems Engineering, Position (vector), Control theory, Distortion, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Center frequency
Abstract

In order to reduce the chattering and phase shift, this article proposes an enhanced sliding mode observer (SMO) for the sensorless control of permanent magnet synchronous motor (PMSM). In the conventional SMO, a low-pass filter (LPF) is commonly employed to extract the back electromotive forces (EMFs) from the sliding mode switching function, which brings the phase shift and degrades the precision of position and speed estimations. In this article, a frequency-adaptive complex-coefficient filter (FACCF) is adopted to replace the LPF. Since the FACCF has no phase shift and amplitude attenuation at the central frequency, it can be used to extract the EMFs without distortion while the chattering can also be suppressed. For an easy parameter design, the normalized phase-locked loop is used to obtain accurately the position and speed estimations. The experiments are carried out on a 3-kW PMSM drive, and the results verify the effectiveness of the proposed method.

Published
2020

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