An Improved Model Predictive Torque Control for Switched Reluctance Motors Based on Variable Hyperbolic Tangent Function Modeling

Abstract

In this article, an improved model predictive torque control (MPTC) method is proposed for switched reluctance motors (SRMs) based on variable hyperbolic tangent function modeling. First, the complete modeling of flux-linkage characteristics is developed based on finite measurement data using a variable hyperbolic tangent function. It could be found that only two parameters are necessary to obtain the corresponding flux-linkage at a given rotor position, significantly reducing the storage space required during the implementation process. Additionally, based on the inductance characteristics, an improved switching table is proposed with three switching states. Meanwhile, the operation principles of MPTC are presented with the improved switching table. Finally, the simulation analysis and experimental results are conducted on a four-phase 8/6 SRM to validate the effectiveness of the proposed improved MPTC. The verification results demonstrate that the proposed method can effectively reduce storage space, lower switching frequency, and exhibit minimal torque ripple.