A Modified Iterative Learning Control Approach for the Active Suppression of Rotor Vibration Induced by Coupled Unbalance and Misalignment

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外文摘要：This paper proposes a modified iterative learning control(MILC)periodical feedback-feedforward algorithm to reduce the vibration of a rotor caused by coupled unbalance and parallel misalignment.The control of the vibration of the rotor is provided by an active magnetic actuator(AMA).The iterative gain of the MILC algorithm here presented has a self-adjustment based on the magnitude of the vibration.Notch filters are adopted to extract the synchronous(1×Ω)and twice rotational frequency(2×Ω)components of the rotor vibration.Both the notch frequency of the filter and the size of feedforward storage used during the experiment have a real-time adaptation to the rotational speed.The method proposed in this work can provide effective suppression of the vibration of the rotor in case of sudden changes or fluctuations of the rotor speed.Simulations and experiments using the MILC algorithm proposed here are carried out and give evidence to the feasibility and robustness of the technique proposed.

外文关键词：

Rotor vibration suppressionModified iterative learning controlUnbalanceParallel misalignmentActive magnetic actuator

作者：

Yifan Bao、Jianfei Yao、Fabrizio Scarpa、Yan Li

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作者单位：

College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China

State Key Laboratory of High-end Compressor and System Technology,Beijing 100029,China

Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery,Beijing University of Chemical Technology,Beijing 100029,China

Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education,Beijing University of Chemical Technology,Beijing 100029,China

Bristol Composites Institute(ACCIS),University of Bristol,Bristol BS8 1TR,UK

Dynamics and Control Research Group(DCRG),University of Bristol,Bristol BS8 1TR,UK

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基金：

国家自然科学基金国家自然科学基金

项目编号：

5197503752375075

出版年：

2024

DOI：

10.1186/s10033-024-00994-x