Title: Using of an adaptive fuzzy speed controller for field oriented controlled an IPMSM drives supplied by a voltage source inverter (selected from SSD'18)

Authors: Salma Charmi; Bassem El Badsi; Abderrazak Yangui

Addresses: Electrical Department, Sfax Engineering National School, University of Sfax, P.O. Box 1173, 3038 Sfax, Tunisia ' Electrical Department, Sfax Engineering National School, University of Sfax, P.O. Box 1173, 3038 Sfax, Tunisia ' Electrical Department, Sfax Engineering National School, University of Sfax, P.O. Box 1173, 3038 Sfax, Tunisia

Abstract: This paper is aimed to the investigation and performance of the field oriented controlled (FOC), an interior permanent magnet synchronous machine (IPMSM) drives, supplied by a two-level three-phase inverter, using a fuzzy logic toolbox in the speed loop system. In recent years, the proposed speed controller has gained more attention for many scientific researchers owing to its several benefits such as more robustness and high precision against reference mechanical speed and/or load torque disturbance effects. Basically, the proposed speed controller consists in adjusting of the proportional and integral gains of the speed controller, in accordance with the speed error and its first time derivative. A simulation-based comparative study between the performance and effectiveness of the developed fuzzy speed controller and the classical one has highlighted the superiority of the adaptive fuzzy control system, in terms of dynamic response, robustness, and steady-state error, especially, when there exist motor parameter uncertainties and unexpected load torque changes occur, under forward and reversal motoring.

Keywords: field oriented control strategy; interior permanent magnet synchronous machine; IPMSM; fuzzy logic controller; steady-state error; load torque variations.

DOI: 10.1504/IJDSSS.2019.105788

International Journal of Digital Signals and Smart Systems, 2019 Vol.3 No.4, pp.233 - 247

Received: 30 Jun 2018
Accepted: 06 Dec 2018
Published online: 13 Mar 2020 *

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