Due to the overlap effect of the current source inverter and the large current pulsation of the bus controlled by the front DC-DC, a large number of harmonics are contained in the extended back electromotive force, resulting in large position errors, which in turn affect the performance of the system. To solve this problem, this paper proposes a sensorless control method of permanent magnet synchronous motor driven by current source inverter with improved sliding mode observer. The proposed method can effectively reduce the harmonic distortion of the estimated back electromotive force caused by the overlapping current effect and the large busbar current pulsation. It not only reduces the position error and speed pulsation, but also has good dynamic performance.
Firstly, based on the traditional sliding mode observer, the voltage model of permanent magnet synchronous motor is established under the α-β stationary coordinate system, and the observer is constructed according to the voltage model. The chattering of the system is reduced by using saturation function instead of sign function in the ideal sliding mode. Since the traditional sliding mode observer uses a first-order low-pass filter to filter the observed back electromotive force, the phase lag and amplitude attenuation problems will be caused, and there are still a large number of high-frequency chattering components in the observed back electromotive force. To solve this problem, a complex coefficient filter is designed to replace the traditional low-pass filter. By using the complex coefficient filter's characteristics of no phase delay and amplitude attenuation at the center frequency, the estimated back potential can be accurately extracted, and the phase lag and amplitude attenuation problems can be avoided while chattering is suppressed. At the same time, the velocity information estimated by the phase-locked loop is fed back to the coefficient filter to realize the adaptability of the complex coefficient filter.
Secondly, although the complex coefficient filter can effectively filter out part of the 5th and 7th harmonics in the observed back electromotive force, there are still part of the 5th and 7th harmonics in the position error signal, and then form the 6th position error signal to affect the position observation accuracy. To solve this problem, the second order generalized integrator is embedded in the phase-locked loop, and the notch property is used to eliminate the sixth harmonics in the position error signal to further improve the position observation accuracy. At the same time, the reference speed is introduced into the phase-locked loop to improve the convergence speed of the phase-locked loop and improve the dynamic performance of the system.
Finally, the experimental results show that compared with the traditional sliding mode observer, the estimated back electromotive force harmonic distortion of the proposed strategy is reduced from 8.9% to 4.12%, and the stator current harmonic distortion is reduced from 8.25% to 6.87%. The rotor position error is reduced by 25% and the rotational speed error by 30%. The results show that the proposed method can better reduces the harmonic disturbance in the estimated back electromotive force, reduces the speed pulsation and position error, improves the estimation accuracy, and has good dynamic performance.
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