4.8 Article

Active Cancellation of Periodic CM EMI at the Input of a Motor Inverter by Injecting Synthesized and Synchronized Signals (S3-AEF)

Journal

IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 37, Issue 10, Pages 11951-11961

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2022.3172205

Keywords

Active filters; electromagnetic compatibility; electromagnetic interference; inverters; signal synthesis

Funding

  1. German Federal Ministry of Education and Research (BMBF) [16EMO0380]

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Active electromagnetic interference (EMI) cancellation is a promising solution to reduce the size of passive filters. This study applies this cancellation method to the common-mode EMI of a three-phase motor inverter, successfully suppressing approximately 2.4 million harmonics. The characteristics and challenges of the overall system are discussed.
Active electromagnetic interferences (EMI) cancellation is a promising solution to reduce the size of passive filters. Power electronic systems may generate periodic disturbances if they are controlled by periodic signals in steady-state operation. Periodic disturbances can be represented by a set of sine waves, according to the Fourier theory, and can he suppressed by an appropriate set of cancelling sine waves injected into the system. Since bothersome effects, like delay times or complex transfer functions, can be compensated by individually selecting the appropriate amplitude and phase for each cancelling sine wave, high EMI reductions can he achieved in a wide frequency range. In this contribution, this cancellation method is applied to the common-mode EMI of a three-phase motor inverter in stationary operation with periodic control signals in the frequency range from 150 kHz to 30 MHz. Approximately 2.4 million harmonics are suppressed. The characteristics of the overall system are discussed and the challenges for the cancellation system are elaborated. A method for the synthesis of the cancellation signal is introduced. The design of the cancellation system is described, and its signal processing is presented. The outstanding performance is proven by reference measurements in a laboratory setup. Extensions for practical applications are discussed.

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