Loss Optimization Method for Controllable Rectification Generation System of Doubly Salient Electromagnetic Generator Based on Angular Position Control

This paper proposes a loss optimization strategy for a controllable rectification generation system based on angular position control (APC) for a doubly salient electromagnetic generator (DSEG). The basic principles of APC for DSEG are first introduced. Then, the system's loss components are analyzed, and a finite element model of the DSEG system based on field-circuit coupling is used to simulate and calculate the system loss under various operating conditions. Additionally, a method for determining the optimal conduction angle of APC is proposed using a back-propagation (BP) neural network algorithm based on particle swarm optimization (PSO). Finally, experimental results validate the accuracy and feasibility of the method.