2016Unpublished venueRequires access

Disturbance prediction based active disturbance rejection control approach

Chongling Li, Tao Cai, Zeyu Han

Open publisher page 2 citations

Abstract

Disturbance widely exists in control system. Active disturbance rejection control (ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in practice. The most important part of ADRC is extended state observer (ESO), which estimates the states of system and total disturbance. ESO regards internal disturbance and external disturbance as a total disturbance, estimates it and eliminates it in the control. The faster ESO estimates total disturbance, the more quickly controller eliminates it. This paper focuses on the discrete linear extended state observer (DLESO), and presents discrete predictive linear extended state observer (DPLESO). Stability and performances are analyzed. Simulation result shows that DPLESO has better performances for disturbance rejection than DLESO.

About this research paper

What this paper is about

Disturbance widely exists in control system. Active disturbance rejection control (ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in practice. The most important part of ADRC is extended state observer (ESO), which estimates the states of system and total disturbance. ESO regards internal disturbance and external disturbance as a total disturbance, estimates it and eliminates it in the control. The faster ESO estimates total disturbance, the more quickly controller eliminates it. This paper focuses on the discrete linear extended state observer (DLESO), and presents discrete predictive linear extended state observer (DPLESO). Stability and performances are analyzed. Simulation result shows that DPLESO has better performances for disturbance rejection than DLESO.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Disturbance widely exists in control system. Active disturbance rejection control (ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in practice. The most important part of ADRC is extended state observer (ESO), which estimates the states of system and total disturbance. ESO regards internal disturbance and external disturbance as a total disturbance, estimates it and eliminates it in the control. The faster ESO estimates total disturbance, the more quickly controller eliminates it. This paper focuses on the discrete linear extended state observer (DLESO), and presents discrete predictive linear extended state observer (DPLESO). Stability and performances are analyzed. Simulation result shows that DPLESO has better performances for disturbance rejection than DLESO.

Key concepts: Disturbance (geology), Active disturbance rejection control, Control theory (sociology), State observer, Computer science, Controller (irrigation), Stability (learning theory), Control engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Disturbance prediction based active disturbance rejection control approach — Research Paper | ScholarLens