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Comparative researches on double‐sided switched reluctance linear machines with different winding connections
Author(s) -
Nie Rui,
Chen Hao,
Zhao Wenmin,
Liu Jinfu,
Zhao Shuyan,
Tian Jiacheng,
Wang Xing,
Zhang Jingxin
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2020.0072
Subject(s) - switched reluctance motor , ripple , finite element method , connection (principal bundle) , generator (circuit theory) , waveform , electromagnetic coil , magnetic reluctance , control theory (sociology) , voltage , torque ripple , computation , engineering , computer science , topology (electrical circuits) , electrical engineering , mechanical engineering , structural engineering , magnet , induction motor , physics , power (physics) , rotor (electric) , algorithm , control (management) , artificial intelligence , direct torque control , quantum mechanics
This study presents comparative researches on performances of a double‐sided switched reluctance linear machine (DSRLM) under different winding connection modes. The static self/mutual inductances of a 6/4 yokeless DSRLM under two winding connection modes are calculated through the finite element method (FEM). This DSRLM can work either as a motor or as a generator. Now the performances of the DSRLM under different winding connection modes, including the force ripple in the electric model and the output voltage ripple in generation model, are compared through an established electric model and an established generation model. In addition, the iron losses under different winding connections are also investigated. Dynamic magnetic flux density waveforms of the DSRLM are calculated via FEM, and an iron loss computation module is established. Simulation results indicate that the advantages of both winding connections reflect in different aspects. This study summarises how to select a proper winding connection mode of DSRLMs for different performance demands responding to different applications. The experimental validations are conducted on a prototype DSRLM finally.

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