Open AccessTechnique of control PMSM powered by PV panel using predictive controller of DTC-SVM
Author(s) -
Fadila Tahiri,
Abdelkader Harrouz,
Djamel Belatrache,
Fatiha Bekraoui,
Omar Ouledali,
Ibrahim Boussaid
Publication year - 2020
Publication title -
facta universitatis. series electronics and energetics/facta universitatis. series: electronics and energetics
Language(s) - English
Resource type - Journals
eISSN - 2217-5997
pISSN - 0353-3670
DOI - 10.2298/fuee2003429t
Subject(s) - direct torque control , control theory (sociology) , space vector modulation , torque , torque ripple , model predictive control , vector control , computer science , controller (irrigation) , support vector machine , torque motor , voltage , engineering , induction motor , pulse width modulation , physics , control (management) , artificial intelligence , biology , electrical engineering , agronomy , thermodynamics
The present paper is a part of the study of Direct Torque Control based (DTC) on space vector modulation using predictive controller (Predictive SVM) of a permanent magnet synchronous motor (PMSM) powered by a photovoltaic (PV) source. In the conventional direct torque control (DTC) of a permanent magnet synchronous motor (PMSM), hysteresis controllers are used to choose the proper voltage vector resulting in large torque ripples. The direct torque control can accelerate the torque responses but increases the torque ripple at same time. Nowadays, exist some other alternative approaches to reduce the torque ripples based on (Predictive SVM) technique. This method is based on the replacement of hysteresis comparators (used in conventional DTC) by Proportional Integral (PI) regulators and the selection table by space vector modulation (SVM). The simulation results confirm that this proposed method where the control of the switching frequency is well controlled, allows us to reduce the oscillations of the electromagnetic torque and flux by 20 % and 30%, respectively with a good dynamic response compared with conventional DTC.