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Predictor-based extended state observer for disturbance rejection control of multi-rate systems with measurement delay

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posted on 2022-11-10, 16:32 authored by Jiankun Sun, Xiangyang Liu, Jun YangJun Yang, Zhigang Zeng, Shihua Li
This paper investigates the multi-rate disturbance rejection control problem for linear control systems with mismatched disturbance and measurement delay using predictor-based extended state observer. A new extended state observer together with output predictor is first designed to obtain the estimation values of system state and mismatched disturbance, where output predictor is used to compensate the influences of measurement delay and sampling of output. To attenuate the undesirable influence of mismatched disturbance, we then design a new sampled-data robust controller with disturbance compensation, and the updating rate of the proposed controller is allowed to be different from that of the sensor. Thanks to prediction and disturbance/uncertainty estimation and attenuation techniques, the disturbance rejection property of the resultant closed-loop control systems is enhanced despite the multi-rate and measurement delay. Some sufficient conditions are presented to ensure the stability property of the resultant control systems. We finally consider the application of the visual servoing control system for an inertially stabilized platform, and the experiment results verifies superiorities of the predictor-based disturbance rejection control method proposed in the paper.

Funding

National Natural Science Foundation of China under Grants U1913602, 61936004, and 62003144

Technology Innovation Project of Hubei Province of China under Grant 2019AEA171

National Postdoctoral Program for Innovative Talents of China under Grant BX20200140

Postdoctoral Science Foundation of China under Grant 2020M682415

111 Project on Computational Intelligence and Intelligent Control under Grant B18024

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Industrial Electronics

Volume

70

Issue

3

Pages

3003 - 3012

Publisher

Institute of Electrical and Electronics Engineers

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2022-04-21

Publication date

2022-05-11

Copyright date

2022

ISSN

0278-0046

eISSN

1557-9948

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 10 November 2022

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