Efficiency optimization control of interior permanent magnet synchronous motor based on Adam algorithm

Aiming at the difficulty of efficiency optimization control caused by unequal inductance parameters of interior permanent magnet synchronous motor(IPMSM), a PMSM efficiency optimization control strategy based on iterative algorithm is proposed. The equivalent transformation method is used to convert the total motor loss into functions related to the d axis current and find its partial derivative value. The optimal efficiency of the motor is optimized by using the partial derivative value and the Adam algorithm. This method can shorten the optimization time while achieving the best efficiency of the motor, and adjust the learning rate in real time to avoid the fluctuation of speed and torque caused by too fast current change. The experimental results show that compared with $i_{d}=0$ control and traditional loss model control, this method can effectively improve the motor efficiency and has fast dynamic response performance.