Reluctance Network Model of Switched Reluctance Motor Considering Magnetic Hysteresis Behavior

Abstract

Quantitative analysis of the iron loss taking the magnetic hysteresis behavior into account is essential to development of high-efficiency electric machines. In previous papers, a novel reluctance network analysis (RNA) model incorporating a play model, which is one of the phenomenological models of the magnetic hysteresis, was proposed. It was clear that the proposed method can calculate the iron loss including the magnetic hysteresis with high accuracy by using the simple model. However, this method has been applied to devices in which voltage and current waveforms are almost sinusoidal. Therefore, in this paper, the versatility of the proposed method for a switched reluctance (SR) motor, whose flux waveform is distorted and dc-biased due to the square-wave voltage excitation, is experimentally demonstrated.