An Improved Model Predictive Control Method to Drive an Induction Motor Fed by Three-Level Diode-Clamped Indirect Matrix Converter

Arman Farhadi; Amir Akbari; Ali Zakerian; Mohammad Tavakoli Bina

doi:10.46604/ijeti.2020.5870

Authors

Arman Farhadi Department of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
Amir Akbari Department of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
Ali Zakerian Department of Electrical and Computer Engineering, Mississippi State University, Mississippi, USA
Mohammad Tavakoli Bina Department of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran

DOI:

https://doi.org/10.46604/ijeti.2020.5870

Keywords:

model predictive control, three-level matrix converter, induction motor, switching frequency, torque ripple

Abstract

In this paper, an improved model predictive control method is proposed to drive an induction motor fed by a three-level matrix converter. The main objective of this paper is to present a novel method to increase the switching frequency at a constant sampling time. Also, it is analytically discussed that increasing the switching frequency not only can decrease the motor current ripples, but it can also significantly reduce its torque ripples. Finally, this study demonstrates that reducing the motor current ripple will improve the quality of the supply current. To be the accurate model and validate the motor drive system, a co-simulation method, which is a combination of FLUX and MATLAB software packages, is employed to find the simulation results. The findings indicate that the proposed method diminishes the THD of the supply current up to 26% approximately. Furthermore, increasing the switching frequency results in the torque ripple reduction by up to 10% almost.

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