Molloy, B. and Ringwood, John
(1993)
Neural network modelling of a boiler combustion system.
In: 3rd Irish Colloquium on DSP and Control, June 1993, Dublin.
Abstract
Boiler combustion systems represent highly nonlinear systems with associated lags and delays
which depend on operating point. Such systems represent a significant challenge to the control
engineer. In this paper, we present a model typical of a medium-size industrial boiler, which
highlights the difficulties associated with such systems. As a starting point for nonlinear control
design, we demonstrate how a neural network may be used to obtain a concise functional
description of the system, initially for fixed operating points and then for variation over the full
range of operation.
Item Type: |
Conference or Workshop Item
(Paper)
|
Keywords: |
Neural networks; modelling; boiler combustion system; |
Academic Unit: |
Faculty of Science and Engineering > Electronic Engineering |
Item ID: |
9555 |
Depositing User: |
Professor John Ringwood
|
Date Deposited: |
14 Jun 2018 15:57 |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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