PID controller evaluation with missing samples in a networked control system using spline interpolation method

Ghude, Sarang and Wen, Paul (2009) PID controller evaluation with missing samples in a networked control system using spline interpolation method. In: ICCAE 2009: International Conference on Computer and Automation Engineering, 8-10 Mar 2009, Bangkok, Thailand.

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Abstract

In Networked Control Systems (NCS) data are communicated through networks which are subjected to damage or loss, resulting in an unstable system. To deal with issue of missing feedback/input (error (u-feedback)) data in a closed loop control system a discrete PID controller is designed. Cubic spline interpolation is used to estimate the missing input (error) values. The simulations show that the estimated values are fairly accurate. The method is then verified with the performance of first order, third order and fourth order systems.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher. Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923.
Depositing User: Sarang Ghude
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 21 Jun 2010 04:22
Last Modified: 02 Jul 2013 23:35
Uncontrolled Keywords: networked control systems; discrete PID controller; cubic spline interpolation; missing samples
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
B Economic Development > 86 Manufacturing > 8615 Instrumentation > 861501 Industrial Instruments
Identification Number or DOI: doi: 10.1109/ICCAE.2009.76
URI: http://eprints.usq.edu.au/id/eprint/6541

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