An Improved Cost Function Based on Model Predictive Current Control for Five-Phase PMSM

In the model predictive control of a five-phase permanent magnet synchronous motor (PMSM), obtaining weight coefficients through cumbersome calculations is problematic to achieve optimal system control performance. To address this issue, this paper proposes a cascade model predictive current control method for a 5-phase PMSM, employing the concept of cascade model predictive control. First, the mechanism by which the suggested scheme chooses the best voltage vector is analyzed. Then, by setting the mechanism precedence of the regulated chargeables based on the characteristics of the 5-phase PMSM, objective function design schemes without weight coefficients are proposed: a fundamental current optimization scheme employs a high-amplitude voltage vector to improve DC bus voltage utilization and dynamic response capability; and a harmonic current optimization scheme reduces stator current harmonics to reduce scheme noise and vibration.