A Novel Analytical Model for Current Harmonics Prediction of Interior PM Machines Based on Differential Evolution Algorithm

This paper presents a novel current harmonics prediction approach for voltage-source-inverter-fed interior permanent-magnet machines based on differential evolution algorithm. The proposed current harmonics prediction model obtains the global optimization of each current harmonic using differential evolution algorithm, whose optimization goal is the fitness between the terminal voltage of interior permanent-magnet machine and the output PWM voltage of inverter. To formulate the relationship between the winding current and terminal voltage of interior permanent-magnet machine, an analytical field model considering iron saturation is developed. Co-simulation based on finite element method is performed to validate the proposed model. The result demonstrates that the proposed model has great accuracy in predicting current harmonics while remarkably saving computational time.