Title: Sensor and sensorless speed control of doubly-fed induction machine

Authors: Amel Bouchemha; Ahmad Taher Azar; Yousfi Laatra; Chouaib Souaidia; Djallel Dib

Addresses: Department of Electrical Engineering, University of Tebessa, Route de Constantine, 12002, Tebessa, Algeria ' College of Computer & Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Egypt ' Department of Electrical Engineering, University of Tebessa, Route de Constantine; 12002; Tebessa, Algeria ' Department of Electrical Engineering, University of Tebessa, Route de Constantine; 12002; Tebessa, Algeria ' Department of Electrical Engineering, University of Tebessa, Route de Constantine; 12002; Tebessa, Algeria

Abstract: In this paper, the behaviour of doubly-fed induction machine operating in motor mode is studied. The proposed system consists of a doubly-fed induction machine with a stator connected directly to AC current and the wound rotor supplied from the pulse-width modulation voltage inverter. To ensure the control of torque and flux separately due to the problem induced by the presence of coupling between these two variables, the indirect field-oriented control is used. Furthermore, in this work sensor and sensorless control for doubly-fed induction machine is studied through a comparison of the proportional integral controller and the observer method based on Kalman filter. The obtained simulation results show the effectiveness, feasibility and robustness of the proposed control approach under different operating conditions.

Keywords: doubly-fed induction machine; DFIM; indirect field-oriented control; PWM voltage-source inverter; PI controller; sensor control; sensorless control; Kalman filter.

DOI: 10.1504/IJAIP.2021.115249

International Journal of Advanced Intelligence Paradigms, 2021 Vol.19 No.2, pp.194 - 215

Received: 18 Mar 2018
Accepted: 08 Jul 2018

Published online: 14 May 2021 *

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