Reducing the Maximum Temperature Rise of Coil Array Based on Current Proportion Commutation Algorithm for Magnetic Levitation Planar Motor

In this paper, the coil array commutation algorithm is used to reduce the coil temperature rise of the magnetic levitation planar motor with moving coils. The coil array commutation algorithm is based on the force/torque-current decoupling model of the planar motor. Considering the gradient distribution of cooling power among the three-phase coils, the maximum temperature rise of the coil array is minimized by adjusting the current weighting coefficients of each coil, while ensuring that the coil array provides the force/torque desired for trajectory movement. The simulation and experimental results confirm that without changing the structure of the cooling system, the proposed current proportion commutation algorithm can reduce the temperature rise of the coil array more effectively than the previous direct force/torque-current decoupling method. The research also indicates that the temperature rise of the coil array can be reduced by the commutation algorithm of the coil array when the cooling power distribution is not uniform.