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Communication Delay Modelling and its Impact on Real-Time Distributed Control Systems

Authors:
Rachna Dhand
Gareth Lee
Graeme Cole

Keywords: Real-Time Control Systems; Time Definition Language (TDL); Auto-Regressive Integrated Moving Average (ARIMA; Network Delay, Smith Predictor; Buffered Time-stamped Dahlin Algorithm

Abstract:
Communication delays are random in nature. A distributed real-time control system linked through a communication network is bound to be affected by the randomness of communication delay patterns. Statistical modelling techniques, like Auto-regressive Integrated Moving Average (ARIMA), may be used to model the network traffic. This paper provides a comprehensive coverage of network traffic modelling through the stochastic approach ARIMA with a case study of National Instruments (NI) DataSocket Transport Protocol (DSTP) based on high bandwidth Ethernet. In real-time control systems the controller optimization requires accurate temporal specification of sensitive controller tasks. Logical computation languages such as Time Definition Language (TDL) have successfully eliminated the temporal inaccuracies in designing control software. The paper provides an analytical and programmatic view on the impact and compensation of unpredictable network delays through discrete-time control algorithms, that are designed in Time Definition Language (TDL). The results validate that the discrete implementations are able to compensate for the delay, thus guaranteeing the stability of the control loop in the presence of unpredictable delays.

Pages: 39 to 46

Copyright: Copyright (c) IARIA, 2010

Publication date: October 25, 2010

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-101-4

Location: Florence, Italy

Dates: from October 25, 2010 to October 30, 2010