Five-level DTC-ANN with Balancing Strategy of DSIM

Authors: Elakhdar Benyoussef, Said Barkat

Abstract: This paper presents an artificial neural networks controller devoted to improve the performance of direct torque control strategy of double star induction machine fed by two five-level diode-clamped inverters. The resulting control scheme presents enough degrees of freedom to control both torque and flux with very low ripple and high dynamics. Unfortunately, the diode-clamped inverter has an inherent problem of DC-link capacitors voltages variations. To overcome this problem, an artificial neural network based direct torque control with balancing strategy is proposed to suppress the unbalance of DC-link capacitor voltages. Simulations results are given to show the effectiveness and the robustness of the suggested control method.

Pages: 52-59

DOI: 10.46300/91010.2022.16.8

International Journal of Energy, E-ISSN: 1998-4316, Volume 16, 2022, Art. #8