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A New Optimization Method for Pole-arc Parameters of Variable-gap Two-phase Switched Reluctance Motor
Author(s) -
Ruihao Wang,
Junling Huo,
Xiaowei Pan,
Qihui Wang,
Hongxing Wu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2218/1/012049
Subject(s) - switched reluctance motor , reluctance motor , control theory (sociology) , air gap (plumbing) , rotor (electric) , finite element method , torque ripple , wound rotor motor , stator , engineering , ac motor , computer science , induction motor , electric motor , direct torque control , mechanical engineering , materials science , structural engineering , voltage , electrical engineering , control (management) , artificial intelligence , composite material
As a switched reluctance motor with simple structure, a two-phase switched reluctance motor (SRM) has the advantages of the above. In contrast, the complexity of the motor structure and the manufacturing cost are low, and only one-way operation is required. The control strategy is simple. Based on the analysis of the self-starting mechanism of the two-phase switched reluctance motor with variable air-gap rotor structure, the structure scheme of the variable airgap rotor is determined by the finite element method. Two-dimensional model of two-phase switched reluctance motor with vertical air gap structure. To minimize the electromagnetic torque ripple, the structure parameters of the motor such as air gap, stator-rotor pole arc and winding turns are optimized. To solve the finite element optimization simulation time process, a numerical batch interpolation method is developed to optimize the non-uniform pole arc of the rotor to improve the finite element simulation speed. Finally, the fixed-rotor pole arc and winding turns of the motor are optimized. The motor parameters are further optimized to make the static performance of the motor more stable.

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