Optimization of cogging torque of tangential magnetizing parallel structure hybrid excitation synchronous motor based on PSO and entropy TOPSIS method

Abstract

In order to solve the problem that the cogging torque of tangential magnetizing parallel structure hybrid excitation synchronous motor (TMPS-HESM) rises sharply when the excitation current increases. Maxwell & Workbench & optiSLong co-simulation tool was used for research. Firstly, the length and width of the permanent-magnet, rotor eccentricity, and stator parameters are parameterized. The multi-objective optimization is carried out by using particle swarm optimization (PSO). Secondly, through sensitivity analysis, the influence degree of different input parameters on cogging torque, average torque and torque pulsation is discussed. Then, the quadratic regression model of high sensitivity parameters and cogging torque, average torque and torque pulsation is established respectively. Finally, entropy technique for order preference by similarity to an ideal solution (TOPSIS) method is used to select the optimal solution from pareto solution set. The results show that the cogging torque and torque ripple of the optimized motor are suppressed obviously, and the average torque is also improved.

Optimization of dovetail magnetic isolation device for permanent magnet torque motor based on finite element method

“…At the same time, the strength of the convex pole effect of the motor is a measure of the weak magnetic performance of permanent magnet torque motors, and the existence of the convex pole effect can make the motor have a strong weak magnetic speed control capability [11][12] . Some new types of PMTMs have also been used in forging equipment, such as axial field permanent magnet motors, transverse field permanent magnet motors, stator field permanent magnet motors 13 , hybrid excitation synchronous motors 14 , etc. All these motors have the advantages of high torque density, high power density, multiple poles, and a wide speed range, but their structures are relatively complex.…”