Multilevel Neural Network DTC with Balancing Strategy of Sensorless DSSM Using Extended Kalman Filter

  • Benyoussef Elakhdar Faculty of Science Applied, Department of Electrical Engineering, University of Kasdi Merbah, Ouargla
  • Barkat Said Faculty of Technology, Department of Electrical Engineering, University of M’sila
  • Radhwane SADOUNI Material, Energy Systems Technology and Environment Laboratory, University of Ghardaia, Algeria

Abstract

This paper presents direct torque control based on artificial neural networks of a double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter, which is known for its ability to process noisy discrete measurements. The proposed approach consists of replacing the switching tables with one artificial neural network controller. The output vector of the artificial neural network controller is directed to a multilevel switching table to decide which reference vector should be applied to control the two five-level diode-clamped inverters. This inverter topology has the inherent problem of DC-link capacitor voltage variations. Multilevel direct torque control based on a neural network with balancing strategy is proposed to suppress the unbalance of DC-link capacitor voltages. The simulation results presented in this paper highlight the improvements offered by the proposed control method based on the extended Kalman filter under various operating conditions.
Published
2021-05-09
How to Cite
ELAKHDAR, Benyoussef; SAID, Barkat; SADOUNI, Radhwane. Multilevel Neural Network DTC with Balancing Strategy of Sensorless DSSM Using Extended Kalman Filter. Journal of Power Technologies, [S.l.], v. 101, n. 2, p. 96-104, may 2021. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1674>. Date accessed: 10 dec. 2024.
Section
Electrical Engineering

Keywords

Double Star Synchronous Machine, Multilevel Inverter, Direct Torque Control, Artificial Neural Networks Control, Extended Kalman Filter

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.