Optimising torque for three-disc AFPMSM in electric vehicles using BP_ANN and anfis algorithms

This paper presents a system that combines torque control algorithms based on a back-propagation neural network (BP-ANN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The BP-ANN uses a multi-layer structure where the input layer processes factors such as load torque, rotational speed, and stator current, hidden layers model complex nonlinear interactions, and the output layer predicts optimal torque for AFPMSM operation.
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Optimising torque for three-disc AFPMSM in electric vehicles using BP_ANN and anfis algorithms