Improved Modulated Model Predictive Control: Reducing Total Harmonic Distortion, Computational Burden, and Parameter Sensitivity

This paper presents an improved modulated model predictive control (M2PC) method, which is implemented on synchronous reluctance motor (SynRM) drives, significantly enhancing performance by streamlining the control algorithm. Unlike conventional M2PC approaches that suffer from complexity and high computational burden due to multiple cost functions, the proposed method introduces a novel voltage-based cost function that eliminates the need for multiple evaluations. By efficiently managing voltage vector sets through the new proposed cost function and using pulse-width modulation (PWM), the method achieves lower total harmonic distortion (THD), reduced sensitivity to parameter mismatches, and a decreased computational load. Experimental results demonstrate that the proposed approach effectively reduces THD, decreases computational burden, and enhances parameter robustness, validating its effectiveness for cost-effective microprocessor implementation.