Modeling of a Novel Tubular Double-Sided Switched Reluctance Linear Motor
Chen H. Liu J. Wang X. Stanislav Olegovich P. Evgenii Alexandrovich B. Zhakiyev N. Duc Do T.
2025Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Plasma Science
2025
This article presents a novel tubular double-sided switched reluctance linear motor (TDSRLM), and its magnetic characteristic is modeled. This article compares two modeling methods: magnetic equivalent circuit (MEC) and radial basis function (RBF) neural network. A 3-D finite element model (FEM) of TDSRLM is established to evaluate the accuracy of the model. The calculation results show that the MEC method can achieve relatively high accuracy when the motor is unsaturated. When the electromagnetic characteristic is nonlinear, the accuracy of MEC reduces significantly. The RBF neural network performs accurately when the motor is operated in nonlinear conditions.
Double stators , linear motor , magnetic equivalent circuit (MEC) finite element analysis (FEM) , neural network , switched reluctance machine
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China University of Mining and Technology, Shenzhen Research Institute, Shenzhen, 221116, China
China University of Mining and Technology, School of Electrical Engineering, Xuzhou, 221116, China
China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, 221116, China
Peter the Great Saint-Petersburg Polytechnic University, Institute of Energy, Saint Petersburg, 195251, Russian Federation
Astana IT University, Department of Science and Innovation, Astana, 010000, Kazakhstan
Nazarbayev University, School of Engineering and Digital Sciences (SEDS), Department of Robotics and Mechatronics, Astana, Z05H0P9, Kazakhstan
China University of Mining and Technology
China University of Mining and Technology
China University of Mining and Technology
Peter the Great Saint-Petersburg Polytechnic University
Astana IT University
Nazarbayev University
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