PofoliaShared via Pofolia

IEEE Transactions on Industrial Electronics· 2015Q1· Review

Disturbance-Observer-Based Control and Related Methods—An Overview

Wen‐Hua Chen, Jun Yang, Lei Guo, Shihua Li

Short summary

This paper provides a comprehensive overview of disturbance-observer-based control (DOBC) and related techniques for estimating and mitigating disturbances and uncertainties in industrial systems.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Systematic review of DOBC and related disturbance/uncertainty estimation and attenuation techniques.
  • Explains the common approach of lumping disturbances and uncertainties together for observation.
  • Compares linear and nonlinear estimation techniques and compensation strategies.
  • Discusses integration of disturbance compensation with pre-designed controllers.
  • Reviews industrial applications and commercialization of these control methods.

AI-generated from the title and abstract; the full text is not read.

Abstract

Disturbance-observer-based control (DOBC) and related methods have been researched and applied in various industrial sectors in the last four decades. This survey, at first time, gives a systematic and comprehensive tutorial and summary on the existing disturbance/uncertainty estimation and attenuation techniques, most notably, DOBC, active disturbance rejection control, disturbance accommodation control, and composite hierarchical antidisturbance control. In all of these methods, disturbance and uncertainty are, in general, lumped together, and an observation mechanism is employed to estimate the total disturbance. This paper first reviews a number of widely used linear and nonlinear disturbance/uncertainty estimation techniques and then discusses and compares various compensation techniques and the procedures of integrating disturbance/uncertainty compensation with a (predesigned) linear/nonlinear controller. It also provides concise tutorials of the main methods in this area with clear descriptions of their features. The application of this group of methods in various industrial sections is reviewed, with emphasis on the commercialization of some algorithms. The survey is ended with the discussion of future directions.

The authors' abstract, as published at the source. IEEE Transactions on Industrial Electronics, 2015 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Control and Systems Engineering

Control and Systems EngineeringEngineering