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2020-11-20
Interior Permanent Magnet Synchronous Motor Dead-Time Compensation Combined with Extended Kalman and Neural Network Bandpass Filter
By
Progress In Electromagnetics Research M, Vol. 98, 193-203, 2020
Abstract
In order to overcome the problem of high voltage loss rate caused by the increase of current harmonics due to dead-time effect and the decrease of average potential output of inverter in the control process of the interior permanent magnet synchronous motor (IPMSM) for electric vehicles, a dead-time compensation control method based on an extended Kalman filter (EKF) and a neural network bandpass filter (NNBPF) is proposed. Firstly, from the mechanism of dead-time effect, the problems and causes of dead-time effect are analyzed. Secondly, the extended Kalman filter combining feedback and prediction function is used to filter the d- and q-axis currents of the motor, so as to solve the problem that zero current polarity is difficult to judge in the traditional dead-time compensation process. Thirdly, the high-order harmonics due to dead-time effect in the d- and q-axis currents are extracted by using the neural network band-pass filter, and the dead-zone compensation is carried out after the amplitude phase adjustment. Finally, the effectiveness of the proposed dead zone compensation method is proved by comparing no dead-time compensation with the dead-time compensation strategy proposed in this paper. The experimental results show that the proposed dead-time compensation method can effectively suppress the current harmonics, reduce the current distortion, reduce the voltage loss rate to 0.04%, improve the voltage utilization ratio, and effectively improve the operating performance and endurance of electric vehicles.
Citation
Lidong Zhu Ben Xu Huangqiu Zhu , "Interior Permanent Magnet Synchronous Motor Dead-Time Compensation Combined with Extended Kalman and Neural Network Bandpass Filter," Progress In Electromagnetics Research M, Vol. 98, 193-203, 2020.
doi:10.2528/PIERM20100903
http://www.jpier.org/PIERM/pier.php?paper=20100903
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