Multi-objective genetic algorithm optimization of linear proportional solenoid actuator

Abstract Linear proportional solenoid (LPS) is widely applied in different linear motion control systems as the electromagnetic actuator since its high reliability and low cost. LPS difficult to optimize by changing a single variable due amounts of structural design parameters, each parameter has nonlinear relationship with static force. This paper aims improve LPS’s push force response performance through magnetostatic finite element analysis (FEA) ANSYS MAXWELL. study compares FEA 2D model, 3D model measurement results underrated coil current verify accuracy model. In order reveal between shape parameters electromagnet objectives, this influence degree on objective conventional type And for purpose improving performance, multi-objective optimization method been proposed based genetic algorithm (GA) optimizing parameters. All were validated both conditions dynamic conditions. The comparison manufactured optimal shows that working stroke improved 30.1%, displacement step rise time reduced 5.2% 43.4%, 20.5% 44.6% return spring stiffness. Above all, directly validation verified paper.