4.6 Article

Disturbance Rejection and Robustness of Improved Equivalent-Input-Disturbance-Based System

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 52, Issue 8, Pages 8537-8546

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2021.3053597

Keywords

Uncertainty; Sensitivity; Torque; Stability criteria; Control systems; Observers; Motion control; Disturbance rejection; equivalent input disturbance (EID); position control; robust control

Funding

  1. National Natural Science Foundation of China [61873348, 61773354]
  2. National Key Research and Development Program of China [2017YFB1300900]
  3. Hubei Provincial Natural Science Foundation of China [2015CFA010]
  4. 111 Project [B17040]
  5. Anhui Provincial University Natural Science Foundation of China [KJ2018ZD032, KJ2019A0510]

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The improved equivalent-input-disturbance approach compensates for the effects of disturbances and uncertainties through the design of an estimator, allowing for a decrease in system sensitivity. There is insufficient analysis of the influence of uncertainties on control performance and system stability. The addition of a new filter removes constraints between design parameters and uncertainties, enhancing system robustness.
This article presents an improved equivalent-input-disturbance (EID) approach to handle unknown disturbances and plant uncertainties. The disturbances and uncertainties are treated as a lumped disturbance in an EID-based control system. The effect of the lumped disturbance is compensated by an EID estimator. A constraint between design parameters and uncertainties is imposed on the design of the estimator. In addition, there are insufficient analyses of the influence of uncertainties on the control performance and the stability of the system. A new filter is devised for an improved EID estimator in this article to remove the constraint. This ensures that the sensitivity of the system to disturbances at low frequencies can be freely decreased. An analysis of the system reveals that uncertainties not only influence disturbance-rejection and reference-tracking performance but also affect system stability. A sufficient stability criterion is derived with consideration of uncertainties. The validity of the presented method is demonstrated by simulation and experimental results.

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