Title: A sensorless mixed DFIM control strategy based on fuzzy-PI speed controller and current sliding mode controller for electric vehicles

Authors: Mouna Zerzeri; Adel Khedher

Addresses: Université de Sousse, Ecole Nationale d'Ingénieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, 4023, Sousse, Tunisia ' Université de Sousse, Ecole Nationale d'Ingénieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, 4023, Sousse, Tunisia

Abstract: This paper discusses doubly-fed induction motors (DFIM) integration possibilities in electric vehicle (EV) propulsion systems. The motivation behind this work is to develop an appropriate control law for DFIM to be suitable for EV applications. From this point of view, the main contributions of this study are: (i) a mixed control approach of an electric vehicle propulsion system based on a DFIM which is composed of a fuzzy-PI controller for the mechanical mode and a sliding mode controller for the electrical one; (ii) an active power distribution law of both stator and rotor circuits connected to space vector pulse width modulation voltage source inverter; and (iii) a new method to estimate speed by associating a model reference adaptive system (MRAS) estimator with an extended Luenberger observer in order to ensure the sensorless command and to compensate the load torque impacts. The effectiveness of the developed sensorless mixed control algorithm is proved by the obtained simulation results for different DFIM operating ranges.

Keywords: electric vehicle propulsion system; DFIM; doubly-fed induction motors; fuzzy-PI controller; sliding mode controller; power distribution; MRAS; model reference adaptive system; MRAS; Luenberger observer.

DOI: 10.1504/IJMIC.2021.123366

International Journal of Modelling, Identification and Control, 2021 Vol.38 No.3/4, pp.271 - 281

Received: 09 Jul 2020
Accepted: 15 Jan 2021
Published online: 13 Jun 2022 *

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