Abstract

The interest in model predictive direct torque control (MP-DTC) for high-performance dynamic control of electric drives has been growing. Unlike the conventional direct torque control (DTC), MP-DTC can achieve optimal voltage selection by predicting the control variables evaluations using a machine model. However, the model-machine mismatch can degrade the control performance significantly, especially for the interior permanent magnet synchronous machine (IPMSM) because of its highly nonlinear characteristics. Therefore, this paper describes an investigation of the MP-DTC algorithm that exploits the advantages of a finite element analysis (FEA) based model in representing the behavior of the IPMSM precisely, including the magnetic saturation and spatial harmonics effects, to suppress the torque pulsations and eliminate the steady-state torque error. Moreover, this approach optimizes the duty ratio simultaneously with the voltage vector selection to guarantee further torque ripple reduction under steady-state operation, especially at low speeds. Simulation results of an 80-kW IPMSM drive are presented to validate the model and the proposed control method.

Highlights

  • Due to the rotor saliency, the interior permanent magnet synchronous machine (IPMSM) produces a reluctance torque in addition to the torque component produced by the magnets, exhibiting higher torque density, higher efficiency, and wide constant power range compared with the surface-mount permanent magnet synchronous motor (PMSM) (SPMSM) [1]

  • The MATLAB/Simulink environment is used to verify the feasibility of the proposed model predictive direct torque control (MP-direct torque control (DTC)) method by comparing its performance with the conventional scheme

  • Because the model predictive-based direct torque control technique requires high accuracy for the implemented machine model, this paper proposes utilizing the finite element analysis (FEA)-based modeling approach for predicting the machine variables

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Summary

INTRODUCTION

Due to the rotor saliency, the interior permanent magnet synchronous machine (IPMSM) produces a reluctance torque in addition to the torque component produced by the magnets, exhibiting higher torque density, higher efficiency, and wide constant power range compared with the surface-mount PMSM (SPMSM) [1]. The existing MP-DTC methods focus on reducing the torque ripple due to the control algorithm, and neglect the magnetic saturation and spatial harmonics effects of the machine in the prediction model. During practical implementation, this leads to machine-model mismatch that can degrade the control performance significantly and cause high steady-state error. A high-accuracy and computationally efficient IPMSM model is presented in [20] This model extracts the flux linkage data from FEA results at different currents and rotor positions to consider both the magnetic saturation, and the cogging torque.

MODEL OF IPMSM AND INVERTER
PROPOSED MP-DTC METHOD FOR IPMSM
Flux and Torque Estimation
Prediction model
Model Implementation
Model verification
SIMULATION RESULTS
CONCLUSION
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