Optimized geometry parameters of PMBLDC motor using Hybrid moth flame

Abstract PMBLDC motor is a type of brushless motor with a permanent magnet as a rotor material. Its main advantage is high efficiency and high lifetime due to less friction in the operation. Its efficiency can be improved further by the proper selection of BLDC motor design. Based on that, in the existing approach, the finite element analysis (FEA) is carried out using software for finding the stator material and the number of turns. This approach provides the optimal stator material with fixed turns as PMBLDC motor design. But in this, the analysis is carried out only for the two numbers of turns only. Hence, in this, a hybrid optimization approach is proposed for designing the PMBLDC motor. The hybrid optimization selects the pole pairs, thickness winding, and other PMBLDC parameters by minimizing the power loss of the motor. To perform this, here, the moth flame and Cauchy particle swarm optimization are used to determine the optimal PMBLDC parameters using MATLAB R2020b version under a windows 10 environment. The proposed method's performance will be compared with the existing in terms of torque and power loss.