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OPTIMIZATION OF SWITCHED RELUCTANCE MOTOR BASED ON QUASI-NEWTON METHOD
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Optimization for electrical machines is widely developed to achieve high performance. In this paper, a numerical optimization for switched reluctance machine design based on the Quasi-Newton method has been investigated. The geometrical parameters of the machine are firstly optimized to enhance the mean torque and torque density, this static torque is analyzed by two-dimensional finite element simulation and is considered a key constraint in the optimization program. Finally, the electromagnetic characteristics of the optimal switched reluctance machine including static torque, and magnetic flux density are given and evaluated. The effectiveness of the proposed method has verified for switched reluctance machines by the simulation using MATLAB plus Finite Element Method Magnetics (FEMM) software.
Ho Chi Minh City University of Industry and Trade
Title: OPTIMIZATION OF SWITCHED RELUCTANCE MOTOR BASED ON QUASI-NEWTON METHOD
Description:
Optimization for electrical machines is widely developed to achieve high performance.
In this paper, a numerical optimization for switched reluctance machine design based on the Quasi-Newton method has been investigated.
The geometrical parameters of the machine are firstly optimized to enhance the mean torque and torque density, this static torque is analyzed by two-dimensional finite element simulation and is considered a key constraint in the optimization program.
Finally, the electromagnetic characteristics of the optimal switched reluctance machine including static torque, and magnetic flux density are given and evaluated.
The effectiveness of the proposed method has verified for switched reluctance machines by the simulation using MATLAB plus Finite Element Method Magnetics (FEMM) software.
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