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Sliding mode variable structure control for inverted pendulum visual servo systems

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conference contribution
posted on 2019-06-07, 08:28 authored by Y Song, D Du, Q Sun, H Zhou, M Fei
This paper investigates the Sliding Mode Variable Structure Control (SMVSC) for a class of typical Cyber-Physical Systems (CPSs), Inverted Pendulum Visual Servo Systems (IPVSSs). In the current CPSs SMVSC studies, the visual servo is rarely involved and there is a lack of the corresponding verification platform. In this paper, we propose an SMVSC algorithm for the self-developed IPVSS to encounter the time-varying Image Processing Computation Delay (IPCD) caused by visual servo. Within this framework, a linear sliding surface is constructed based on the Ackermann pole assignment method and an SMVSC law is given. In addition, the relationship between the IPCD and the stability of sliding motion on the specified linear sliding surface is quantified. Furthermore, we prove that the designed SMVSC law can guarantee the system state to reach the linear sliding surface in a finite time and remain stable for all subsequent time. Finally, the simulation and real-time control experiments verify the feasibility and effectiveness of the proposed method.

Funding

The work was supported by the National Science Foundation of China under Grant Nos. 61773253, 61633016 and 61533010, 111 Project under Grant No. D18003.

History

Citation

IFAC-PapersOnLine, Volume 52, Issue 11, 2019, Pages 262-267

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

IFAC Conference on Intelligent Control and Automation Science (ICONS), Belfast

Version

  • AM (Accepted Manuscript)

Published in

IFAC Conference on Intelligent Control and Automation Science (ICONS)

Volume

52

Issue

11

Pagination

262-267

Publisher

Elsevier for International Federation of Automatic Control

issn

2405-8963

Acceptance date

2019-06-01

Copyright date

2019

Available date

2019-10-29

Notes

The file associated with this record is under embargo until publication and embargo period can be determined, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Temporal coverage: start date

2019-08-21

Temporal coverage: end date

2019-08-21

Language

en

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