Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems

Ibrahim Farouk Bouguenna, Ahmed Tahour, Ralph Kennel and Mohamed Abdelrahem
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Ibrahim Farouk Bouguenna: Institute for Electrical Engineering, University of Mascara, Mascara 29000, Algeria
Ahmed Tahour: Higher School of Applied Sciences, Tlemcen 13000, Algeria
Ralph Kennel: Institute for Electrical Drive Systems and Power Electronics (EAL), Technische Universität München (TUM), 80333 Munich, Germany
Mohamed Abdelrahem: Institute for Electrical Drive Systems and Power Electronics (EAL), Technische Universität München (TUM), 80333 Munich, Germany

Energies, 2021, vol. 14, issue 6, 1-23

Abstract: This article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector modulation (DSVM). The converter’s real voltage vectors are utilized along with new virtual voltage vectors to form switching sequences for each sampling period in order to improve the steady-state performance. Furthermore, to obtain the reference voltage vector (VV) directly from the reference current and to reduce the calculation load of the proposed MV-FCS-MPC technique, a deadbeat function (DB) is added. Subsequently, the best real or virtual voltage vector to be applied in the next sampling instant is selected based on a certain cost function. Moreover, a fuzzy logic controller is employed in the outer loop for controlling the speed of the rotor. Accordingly, the dynamic response of the speed is improved and the difficulty of the proportional-integral (PI) controller tuning is avoided. The response of the suggested technique is verified by simulation results and compared with that of the conventional FCS-MPC.

Keywords: model predictive control; fuzzy logic controller; multiple-vector; deadbeat function (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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