Position Sensorless Control of Switched Reluctance Motors Based on Angle Adjustment Using Nonlinear Inductance and Flux Model

This article presents a synthetic sensorless control strategy combining the inductance and simplified flux models for switched reluctance motors (SRMs). First, the initial driving phase is determined by improved phase inductance comparison (IIPC). Second, the SRM's driving signal is obtained by the improved double inductance threshold (IDIT) method to ensure a reliable and smooth start. Third, to address the challenges posed by the large memory resources and lengthy execution time of the conventional table searching method for flux, the Fourier polynomial is employed to calculate the reference flux. Then, by comparing it with the real-time flux, the Hall signal can be obtained to estimate the rotor position. Moreover, an angle adaptive adjustment method is proposed to satisfy the requirements of different speeds and working conditions.Finally, a six-phase 12/10 pole SRM is used to verify the effectiveness of the proposed sensorless control strategy.