A Markov Chain Random Asymmetrical SVPWM Method to Suppress High-Frequency Harmonics of Output Current in an IMC-PMSM System

IEEE TRANSACTIONS ON POWER ELECTRONICS(2024)

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摘要
In the system of permanent magnet synchronous motor (PMSM) driven by indirect matrix converter (IMC), space vector pulsewidth modulation (SVPWM) technology is used in the inverter stage, which causes that the output current generates high-frequency harmonics around the integral multiples carrier frequency, thus generating high-frequency noise and electromagnetic interference. In order to suppress the high-frequency harmonics of output current in IMC-PMSM, a Markov chain random asymmetrical SVPWM (MRA-SVPWM) method is proposed in this article. Although random PWM (RPWM) technology have some effect to reduce the harmonic amplitude. There are still some inherent defects. Markov chain with nonaftereffect is applied to random switching frequency PWM in order to improve the performance of RPWM. Meanwhile, MRA-SVPWM changes the switching state by adjusting the vectors order and, thus, changes the coefficient of the harmonic. A better suppression performance around the integer multiples carrier frequency is achieved. Meanwhile, the principle of harmonic suppression is analyzed by using three-dimensional Fourier. Finally, the effectiveness of the proposed algorithm is verified by experiments.
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关键词
Harmonics suppression,indirect matrix converter (IMC),permanent magnet synchronous motor (PMSM),random PWM (RPWM)
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