Applied Adaptive Controller Design for Vibration Suppression in Electromagnetic Systems

In engineering tests, the vehicle-track coupled vibration is very easy to occur on the elastic support beams for a magnetic levitation (maglev) system. The fundamental waves, higher order harmonics, and other components related to the mode of track vibrations are often observed in the gap, acceleration and current sensors. This paper aims to design an adaptive filter to suppress these vibration components and improve the ride comfort for the passengers. Firstly, an adaptive selfturning filter is designed to filter out wideband signals and noise from the original signals, and enhance the strength of the fundamental wave and the harmonic components related to the mode of track vibration. Secondly, a narrow-band bandpass filter is presented to extract these enhanced periodical signals related to the track mode, and then the enhanced signals are configured as the reference inputs of the subsequent adaptive noise canceller. Thirdly, the adaptive noise canceller filters out periodical vibration components related to the track mode. Finally, the designed digital adaptive filter is applied to a real maglev system and suppresses coupled vibration on the elastic support beams effectively.