Fuzzy Logic-Based Vector Control of Permanent Magnet Synchronous Motor Using Stacked Matrix Converter for Railway Traction Applications

Khosravi , Mahyar; Fazel , Seyed Saeed; Abdollahi , Vahid

doi:10.22068/IJRARE.4.2.41

Volume 4, Issue 2 (10-2017) IJRARE 2017, 4(2): 41-56 | Back to browse issues page

‎ 10.22068/IJRARE.4.2.41

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Khosravi M, Fazel S S, Abdollahi V. Fuzzy Logic-Based Vector Control of Permanent Magnet Synchronous Motor Using Stacked Matrix Converter for Railway Traction Applications. IJRARE 2017; 4 (2) :41-56
URL: http://ijrare.iust.ac.ir/article-1-173-en.html

Fuzzy Logic-Based Vector Control of Permanent Magnet Synchronous Motor Using Stacked Matrix Converter for Railway Traction Applications

Mahyar Khosravi

, Seyed Saeed Fazel

, Vahid Abdollahi

School of Electrical Engineering, Iran University of Science and Technology

Abstract: (1835 Views)

Recently, Permanent Magnet Synchronous Motors (PMSMs) have been widely accepted and employed in traction and railway transportation applications due to their various advantages such as small inertia, high efficiency and high torque density. In this research, in order to use these motors as traction drives in an effective way, the vector control scheme is used. In this strategy, the stator current is decomposed into 2 different components which are controlled separately. To increase the reliability of the system and also decrease the output voltage THD value, a multilevel inverter the so called Stacked Matrix Converter (SMC) is used in the power stage of the system. Also, to further improve the dynamic and steady state performance of the system in all different conditions, the conventional PID controllers that are used in the control scheme are trained by fuzzy supervisor controllers. Finally, for evaluating and validating the system performance in railway traction applications, the model of the system is simulated in MATLAB/Simulink environment and the results are analyzed.

Keywords: PMS, MRailway transportation, Vector control, Stacked matrix converter, Fuzzy supervisory control

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Type of Study: Research | Subject: Electrical railway