Line-Constrained-Based Explicit Model Predictive Current Control for IPMSMs Drives

Abstract

This article proposes an improved line-constrained explicit model predictive control (EMPC) method for interior permanent magnet synchronous motors by utilizing the constraint processing capability of EMPC. Despite the substantial advantages that EMPC provides for motor drives, its memory occupancy and complex weight factor calculation make it limited in tackling only small-scale issues. To address these challenges, the improved method incorporates a constraint variable that converts the area constraints of the conventional EMPC strategy into line constraints. The findings demonstrate that the line-constrained EMPC minimizes the number of piecewise affine regions to fewer than ten, which is substantially fewer than those of the conventional method, hence significantly decreasing the algorithm's memory occupancy rate. Moreover, only one weight factor in the cost function exists in the proposed approach, which solves the weight factor calculation problem inherent in the EMPC method. This method's superiority is demonstrated through simulations and experiments.