liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Linear and Nonlinear Identification of Solid Fuel Furnace
Linköping University, Department of Electrical Engineering.
2005 (English)Independent thesis Advanced level (degree of Magister), 20 points / 30 hpStudent thesis
Abstract [en]

The aim of this thesis is to develop the knowledge about nonlinear and/or adaptive solid fuel boiler control at Vattenfall Utveckling AB. The aim is also to make a study of implemented and published control strategies.

A solid fuel boiler is a large-scale heat (and power) generating plant. The Idbäcken boiler studied in this work, is a one hundred MW furnace mainly fired with wood chips. The control system consists of several linear PID controllers working together, and the furnace is a nonlinear system. That, and the fact that the fuel-flow is not monitored, are the main reasons for the control problems. The system fluctuates periodically and the CO outlets sometimes rise high above the permitted level.

There is little work done in the area of advanced boiler control, but some interesting approaches are described in scientific articles. MPC (Model Predictive Control), nonlinear system identification using ANN (Artificial Neural Network), fuzzy logic, Hµ loop shaping and MIMO (Multiple Input Multiple Output) PID tuning methods have been tested with good results.

Both linear and nonlinear system identification is performed in the thesis. The linear models are able to explain about forty percent of the system behavior and the nonlinear models explain about sixty to eighty percent. The main result is that nonlinear models improve the performance and that there are considerable disturbances complicating the identification. Another identification issue was the feedback during the data collection.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2005. , 68 p.
Keyword [en]
furnace, system identification
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-5182ISRN: LiTH-ISY-EX--05/3720--SEOAI: diva2:21087
Available from: 2005-12-19 Created: 2005-12-19

Open Access in DiVA

fulltext(1266 kB)1545 downloads
File information
File name FULLTEXT01.pdfFile size 1266 kBChecksum MD5
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 1545 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 613 hits
ReferencesLink to record
Permanent link

Direct link