Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

Time Delay Compensation for a Class of Dual Loop Networked Control System with Different Sampling Rate

Authors
Hong Zhao, Ke Che, Shenglan Zhang
Corresponding Author
Hong Zhao
Available Online August 2018.
DOI
10.2991/caai-18.2018.4How to use a DOI?
Keywords
different sampling rate; dual loop; networked control system; Smith predictor; time-varying delay
Abstract

This paper investigates a class of dual loop networked control system with different sampling rate. Smith predictor is used to eliminate the influence of time delay. However, uncertain time-varying delay and different sampling rate in the actual production process make the system with conventional Smith predictor cannot achieve the desired control effect. A modified Smith predictor with regulator is proposed for this kind of networked control system, which can be used to overcome the problems caused by random network delay and various sampling rate. The simulation results based on MATLAB /Simulink show that the proposed model and method are efficient and feasible.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
10.2991/caai-18.2018.4
ISSN
2589-4919
DOI
10.2991/caai-18.2018.4How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hong Zhao
AU  - Ke Che
AU  - Shenglan Zhang
PY  - 2018/08
DA  - 2018/08
TI  - Time Delay Compensation for a Class of Dual Loop Networked Control System with Different Sampling Rate
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 12
EP  - 16
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.4
DO  - 10.2991/caai-18.2018.4
ID  - Zhao2018/08
ER  -