Harmonic suppression and noise optimization of electric machines based on proportional resonance self-immunity control
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1.Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Hebei University of Technology,Tianjin 300130, China; 2.School of Mechanical Engineering, Guangxi University,Nanning 530004, China; 3.China Automotive Technology and Research Center Co., Ltd.,Tianjin 300300, China

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TM341;TN713

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    Abstract:

    A proportional resonance selfimmunity control strategy is proposed to solve the problem of a large number of low-frequency harmonics caused by the nonlinearity of the drive motor inverter and the non-sinusoidal waveform of the back electromotive force. This strategy can suppress the current harmonics more comprehensively, while the introduction of resonance control can provide better suppression of specific frequency harmonics. A mathematical model of the motor system is established. Based on the Maxwell tensor method, the analytical equation of the electromagnetic force is deduced. It is analyzed that the 5th and 7th harmonics will deteriorate the performance of the motor in terms of torque pulsation and electromagnetic noise. A multi-physical field co-simulation model using Simulink and Jmag is established. Simulation analysis is conducted to validate the theoretical analysis and the effectiveness of harmonic suppression in reducing torque pulsation and electromagnetic noise.An experimental platform is set up to analyze the current and electromagnetic noise results before and after applying the strategy. The results indicate that the control strategy constructed has a better suppression effect on the harmonic components of the main order of low frequency, and optimizes the low frequency noise characteristics of the motor.

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  • Received:
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  • Online: September 04,2024
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