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Predictive compensation for variable network delays and packet losses in networked control systems

Tian, Guosong, Xia, Feng, & Tian, Yu-Chu (2012) Predictive compensation for variable network delays and packet losses in networked control systems. Computers and Chemical Engineering, 39, pp. 152-162.

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Abstract

Networked control systems (NCSs) offer many advantages over conventional control; however, they also demonstrate challenging problems such as network-induced delay and packet losses. This paper proposes an approach of predictive compensation for simultaneous network-induced delays and packet losses. Different from the majority of existing NCS control methods, the proposed approach addresses co-design of both network and controller. It also alleviates the requirements of precise process models and full understanding of NCS network dynamics. For a series of possible sensor-to-actuator delays, the controller computes a series of corresponding redundant control values. Then, it sends out those control values in a single packet to the actuator. Once receiving the control packet, the actuator measures the actual sensor-to-actuator delay and computes the control signals from the control packet. When packet dropout occurs, the actuator utilizes past control packets to generate an appropriate control signal. The effectiveness of the approach is demonstrated through examples.

Impact and interest:

8 citations in Scopus
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4 citations in Web of Science®

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ID Code: 47963
Item Type: Journal Article
Keywords: Process control, networked control systems (NCSs), network-induced delay, packet loss, predictive compensation
DOI: 10.1016/j.compchemeng.2012.01.002
ISSN: 0098-1354
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Distributed and Grid Systems (080501)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CHEMICAL ENGINEERING (090400) > Process Control and Simulation (090407)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2012 Elsevier Ltd.
Copyright Statement: This is the author’s version of a work that was accepted for publication in <Computers and Chemical Engineering>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Chemical Engineering, [Volume 39 (6 April 2012)]. DOI: 10.1016/j.compchemeng.2012.01.002
Deposited On: 09 Jan 2012 08:15
Last Modified: 12 Sep 2013 20:46

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