Implementing a Process Model for Real-Time Applications
Tian, Yu-Chu, Levy, David C., & Gu, Tianlong (2004) Implementing a Process Model for Real-Time Applications. In The 7th Asia-Pacific Conference on Complex Systems (Complex'2004), 6-10 December 2004, Cairns, Australia.
Model-based advanced control of industrial processes requires well-developed process models. The established models are often complex with the features of multi-dimension, high nonlinearity, strong coupling, etc. Those features make the computational demand of the models conceptually high, especially for large-scale systems, resulting in difficulties in implementation of real-time control systems. This paper reports our efforts in overcoming the difficulties for a large-scale industrial process: a continuous hot dip galvanising production line. The process model is developed first, which is a set of partial differential equations. It is then transformed into a discrete state space model suitable for computation using digital computers. In order to meet the requirements of real-time control, algorithms are designed to significantly reduce the computational time. The process model and its computational algorithms are implemented and embedded into the real-time control system of the galvanising production line in the real plant.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Modelling, Control, numerical computing|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical Analysis (010301)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Applied Discrete Mathematics (080202)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CHEMICAL ENGINEERING (090400) > Process Control and Simulation (090407)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2004 (please consult author)|
|Deposited On:||09 Jun 2005|
|Last Modified:||29 Feb 2012 23:09|
Repository Staff Only: item control page