Share and Export
Share and Export
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.
Preview
JR-Neural-1993.pdf
Download (268kB) | Preview
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: | https://mu.eprints-hosting.org/id/eprint/9555 |
| 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 |
Repository Staff Only (login required)
- Item control page
Downloads
Downloads per month over past year
