Loughborough University
Browse

Gain function-based visual tracking control for inertial stabilized platform with output constraints and disturbances

Download (7.51 MB)
journal contribution
posted on 2022-11-04, 09:17 authored by Xiangyang Liu, Jun YangJun Yang, Pengyu Qiao
In this paper, a composite control strategy is proposed to deal with output constraints and disturbances of the visual tracking system for an inertial stabilized platform, which combines active disturbance compensation and the variable gain function technique. Firstly, the model of system considering multi-source disturbances is established, where the controlled output is the constrained position of the target in the image plane. Secondly, in order to avoid the tracked target being lost in the field of view of the camera, a control method based on the variable gain function technique is designed to ensure that the controlled output remains within the feasible range. Moreover, the active disturbance estimation and compensation method is introduced to improve the anti-disturbance ability of the system under the situation of small output error, obtaining satisfactory tracking performance. The stability analysis and the proof of constrained output are given following the controller design. Finally, results of simulation and experiments are shown to illustrate the promised advantages of the proposed composite control approach.

Funding

Analysis and Synthesis of Multi-source Interference Cancellation and Suppression in Full Control Loop

National Natural Science Foundation of China

Find out more...

Shenzhen Science and Technology Innovation Committee (STIC) under Grant JCYJ20190813152603594

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Electronics

Volume

11

Issue

7

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-04-01

Publication date

2022-04-02

Copyright date

2022

eISSN

2079-9292

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 3 November 2022

Article number

1137

Usage metrics

    Loughborough Publications

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC