Abstract
Fast and accurate electromagnetic torque calculation of unconventional Permanent Magnet Synchronous Machines (PMSMs) is very important in order to reduce design effort. Dual winding PMSMs (DWPMSMs) can be categorized as unconventional and commonly available fast design software that usually lacks predicting machine performance. In this study, an analytical modeling approach has been proposed to calculate electromagnetic torque of DWPMSMs, which has motor and generator windings in a single stator core. Conformal mapping is used for the calculation of flux levels at various locations in the machine. Radial and tangential components of flux densities due to magnet and winding are determined analytically. Instantaneous value of electromagnetic torque due to generator or motor windings is calculated by integrating the Maxwell stress tensor in the middle of the air gap. Accuracy of the proposed analytical solution is confirmed with finite element analysis results. For further validation, an experimental setup with a 24-slot 22-pole DWPMSM is used. Experimental results have close agreement with analytical results obtained by conformal transform-based modeling.
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Notes on contributors
Murat Tezcan
Murat Tezcan was born in Kütahya, Turkey. He received his B.S. M.S. degrees in Electrical and Electronics Engineering Department, Kütahya Dumlupınar University, Turkey, in 2004 and 2008, respectively. Between 2005 and 2009, he worked as a research assistant in Electrical and Electronics Engineering Department, Kütahya Dumlupınar University. From 2009 to 2015, he served as a research assistant in the Electrical Engineering Department of Yıldız Technical University, İstanbul, Turkey. He received his Ph.D. in Electrical Engineering of Yıldız Technical University. Currently, he is an assistant professor at Electrical and Electronics Engineering Department, Kütahya Dumlupınar University. His current research includes design of electrical machines, hybrid electric vehicles, and renewable energy systems.
Erkan Mese
Erkan Meşe was born in Izmir, Turkey. He received his B.S. and M.S. degrees in Electrical Engineering from Istanbul Technical University, Istanbul, Turkey, and his Ph.D. in Electric Power Engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990, 1993, and 1999, respectively. Between 1997 and 2005, he was with Advanced Energy Conversion, LLC, Schenectady, NY. From 2005 to 2008, he was with Advanced Engineering Division of General Motors, MI, USA. He worked as a consultant engineer in AVL Powertrain, Kocaeli, Turkey, between 2008 and 2013. From 2009 to 2016, he served as a faculty member in the Electrical Engineering Department of Yildiz Technical University, Istanbul. Currently, he is a faculty member in the Electrical and Electronics Engineering Department at Ege University, Izmir. His research interests include electric machines, electromechanical systems, power electronics, hybrid electric vehicles, and renewable energy systems.
Ilker Ustoglu
İlker Üstoğlu received a B.Sc. degree in electrical engineering from Istanbul Technical University (ITU), Turkey, in 1997 and a M.Sc. degree in control and computer engineering from ITU, in 1999. He completed his Ph.D. in control and automation engineering at ITU in 2009. Since September 2010, he has been working at the Control and Automation Engineering Department of Yildiz Technical University, Turkey. His research areas include mathematical control theory, computer algebra, railway systems, and functional safety.
Murat Ayaz
Murat Ayaz received his B.S., M.S., and Ph.D. degrees from the Department of Electrical Education, Kocaeli University, Kocaeli, Turkey, in 2005, 2008, and 2015, respectively. Between 2005 and 2009, he worked as a project engineer in Beck & Pollitzer, Kocaeli, Turkey. From 2009 to 2015, he served as a research assistant in the Electrical Education Department of Kocaeli University, Kocaeli. Currently, he is an assistant professor at Electric and Energy Department of Kocaeli University. His current research includes design of electrical machines, hybrid electric vehicles, and industrial automation systems.