Abstract

This paper presents a torque ripple minimization method for a permanent magnet synchronous motor (PMSM) drive system that utilizes a modified quasi-Z-source (qZS) inverter. The proposed modified qZS network is designed by adding an extra switching device to the conventional qZS topology and provides a wider range of capabilities for inverter input voltage control, e.g., both step-up and step-down operations. It also allows for modification of the traditional switching sequence selection scheme when using the space vector modulation (SVM) for switching. The provided flexibilities are leveraged to develop a control system that minimizes the torque ripples during PMSM operation while satisfying conventional control objectives such as shaft speed control. The control system is comprised of an input voltage optimization subsystem with the goal of torque ripple minimization, which provides the reference for a cascaded modulated model predictive control subsystem for the modified qZS network control, and a motor side predictive control subsystem. The control system employs a new switching sequence selection scheme for SVM modulation to further reduce PMSM torque ripples. Experimental results are provided to validate the theoretical outcomes.

Highlights

  • S INCE its introduction [1], the concept of Z-source network has pioneered a new research area in the field of power electronics

  • In [8], authors have proposed a technique for dynamic commutation torque ripple reduction of a quasi-Z-source inverter fed brushless dc motor by providing enough voltage at commutation interval using the qZS network when the motor is operating at high speeds

  • A predictive controller has been used to control the permanent magnet synchronous motor (PMSM). This predictive controller provides similar dynamic performance and better steady-state response compared to Model predictive control (MPC) for PMSM control

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Summary

INTRODUCTION

S INCE its introduction [1], the concept of Z-source network has pioneered a new research area in the field of power electronics. In [8], authors have proposed a technique for dynamic commutation torque ripple reduction of a quasi-Z-source (qZS) inverter fed brushless dc motor by providing enough voltage at commutation interval using the qZS network when the motor is operating at high speeds. A new PMSM drive system with a modified qZS network is proposed to reduce the torque ripples during operation. The shoot-through states for the qZS network are leveraged in this work to develop a new switching sequence selection method for SVM that leads to even further torque ripple reduction at a certain optimum inverter input voltage. This predictive controller provides similar dynamic performance and better steady-state response compared to MPC for PMSM control This method uses the motor’s discrete dynamic model to predict voltage references and converts them into corresponding switching commands using SVM [22]. The electrical torque will be completely proportional to the q-axis current according to (1)

GROUNDWORKS
Modified qZS Model
SVM Switching
Predictive Controller for PMSM
Inverter Voltage Control Using Modified qZS Network
Torque Ripple Minimization
EXPERIMENTAL RESULTS
CONCLUSION

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