Flux-Linkage Loop-Based Model Predictive Torque Control for Switched Reluctance Motor

To minimize the switch state combinations and lower the computational burden in traditional model predictive torque control (MPTC) strategies in switched reluctance motor (SRM), a flux-linkage loop-based MPTC is proposed in this article. In this method, the concept of direct torque control (DTC) of SRM is integrated with the MPTC, which adopts the voltage vector selection method of DTC and utilizes the flux-linkage loop of DTC to assist in selecting the candidate switch states in MPTC, thereby further reducing the number of candidate switch state combinations to two. In addition, an improved quadrature phase locked loop (PLL) scheme is introduced to replace the arctangent function to calculate the flux linkage sector angle, which makes the angle estimation robust. The proposed method was experimentally validated on a 12/8-pole SRM experimental platform and compared with current chopping control and the traditional MPTC methods. The experimental results demonstrate its superiority in reducing computational burden and lowering torque ripple.

I. Introduction

Switched reluctance motor (SRM) is receiving widespread attention due to its strong environmental adaptability, high-speed capability, and high reliability. However, due to the nonlinear characteristics of SRM in flux linkage, inductance, and torque, as well as its own torque ripple and vibration noise issues, it still lacks competitiveness in fields such as electric passenger vehicles, ultraclean and silent systems, and precision servo drives [1], [2], [3], [4].