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- W3130492021 abstract "In this paper, the optimal design of permanent magnet brushless DC (PMBLDC) motor has been described. For optimal design of PMBLDC, particle swarm optimization (PSO) algorithm was used. The motor characteristic is expressed as its geometrical functions. The optimal function is the combination of its cost, losses and volume. In this optimization procedure, mainly four design variables, i.e., axial length of stator/rotor (lsr), radius of rotor (rro), thickness of magnet (lmag) and thickness of winding (lwd) are given. The optimization technique was done using MATLAB program and designing of PMBLDC Ansys Maxwell was used." @default.
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- W3130492021 date "2021-01-01" @default.
- W3130492021 modified "2023-09-24" @default.
- W3130492021 title "Optimal Design of Permanent Magnet Brushless DC (PMBLDC) Motor Using PSO Algorithm" @default.
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- W3130492021 doi "https://doi.org/10.1007/978-981-33-4412-9_33" @default.
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