Aiming at improving power intensity of linear switched reluctance motors(LSRM)applied to suspended trains,and obtaining larger traction and weight reduction with a smaller primary volume,a multi-objective optimization of LSRM was proposed based on the Kriging algorithm.First a multi-variable and multi-objective optimization design model for LSRM was established,and a unified objective function was established using the ideal point method.The motor size that affects optimization objectives was chosen as the optimization variable.Considering actual condition of electromagnetic and structural dimensions,the constrained conditions and the range of optimization variable values were given.Second the pri-ority of optimization objectives was determined as the average traction,average weight reduction,and primary weight of the motor.Finally the corresponding coefficient vectors were obtained based on the variation range of optimization objec-tives.Under this coefficient vector,each component of objective function achieves better optimization results,with the av-erage traction and average weight reduction exceeding the design target value,and the primary weight of the motor decrea-sing compared to the original size motor.
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