Title: Vector control strategies for synchronous reluctance motor: constant current control, MTPA, MTPW and MPFC

Authors: Yassine Zahraoui; Mohamed Moutchou; Souad Tayane

Addresses: Department of Electrical Engineering, Laboratory of Complex Cyber-Physical Systems (LCCPS), Higher National School of Arts and Crafts (ENSAM), Hassan II University, Casablanca 20670, Morocco ' Department of Electrical Engineering, Laboratory of Complex Cyber-Physical Systems (LCCPS), Higher National School of Arts and Crafts (ENSAM), Hassan II University, Casablanca 20670, Morocco ' Department of Electrical Engineering, Laboratory of Complex Cyber-Physical Systems (LCCPS), Higher National School of Arts and Crafts (ENSAM), Hassan II University, Casablanca 20670, Morocco

Abstract: This paper presents different vector control strategies in order to improve the performance of a synchronous reluctance motor. As the torque control is directly related to the current control, many strategies can be implemented. Depending on the criterion to be optimised, there are therefore many strategies. The suitable control strategy choice is mainly determined by the way the current reference values will be defined. For that purpose, four techniques are detailed: constant current control, maximum torque per Ampere; maximum torque per Weber, and maximum power factor control. All these techniques have been simulated in MATLAB/Simulink, and precise comparison of their characteristics is brought out. The obtained results are satisfactory and good performance is achieved, such as response time, torque ripples reduction, and current improvement. These results will help in deciding which of the four-vector control strategies can be employed in high-performance drive applications, and when and under what conditions.

Keywords: synchronous reluctance motor; vector control strategies; constant direct current control; constant current angle control; maximum torque per ampere; MTPA; maximum torque per Weber; MTPW; maximum power factor control; MPFC; ripples reduction.

DOI: 10.1504/IJMIC.2023.132607

International Journal of Modelling, Identification and Control, 2023 Vol.43 No.2, pp.154 - 165

Received: 25 Mar 2022
Received in revised form: 06 Sep 2022
Accepted: 28 Sep 2022
Published online: 30 Jul 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article