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On Vibration Suppression and Trajectory Tracking in Largely Uncertain Torsional System: An Error-based ADRC Approach

  • R. Madonski
  • , M. Ramirez-Neria
  • , M. Stankovic
  • , Sally Shao
  • , Zhiqiang Gao
  • , J. Yang
  • , S. Li
    • Southeast University
    • Universidad Politécnica del Valle de México
    • University of Defense
    • Cleveland State University

    Research output: Contribution to journal › Article › peer-review

    Abstract

    In this work, a practically relevant control problem of compensating harmonic uncertainties is tackled. The problem is formulated and solved here using an active disturbance rejection control (ADRC) methodology. A novel, custom ADRC structure is proposed that utilizes an innovative resonant extended state observer (RESO), dedicated to systems subjected to harmonic interferences. In order to make the introduced solution more industry-friendly, the entire observer-centered control topology is additionally restructured into one degree-of-freedom, compact, feedback error-based form (similar to ubiquitous in practice PID controller). Such reorganization enables a straightforward implementation and commission of the proposed technique in wide range of industrial control platforms, thus potentially increasing its outreach. In order to verify the efficiency of the introduced method, a multi-criteria experimental case study using a torsional plant is conducted in a trajectory tracking task, showing satisfactory performance in vibration suppression, without the often problem of noise amplification due to high observer/controller gains. Finally, a frequency analysis and a rigorous stability proof of the proposed control structure are given.

    Original languageAmerican English
    JournalMechanical Systems and Signal Processing
    Volume134
    DOIs
    StatePublished - Dec 1 2019

    Keywords

    • Active disturbance rejection control; Extended state observer; Vibration suppression; Harmonic reference tracking; Harmonic disturbance rejection; Torsional plant

    Disciplines

    • Mathematics

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