Investigation of fuzzy logic and neural network based strategies for control optimisation of iron making processes

Ziel

The objective of the present proposal is to investigate the application of fuzzy logic and neural network-based systems to the control of ironmaking processes. In particular, the objectives relate to control of blast furnace parameters, as well as advisory systems intended to optimize use of fuel and coke. The third objective is to use such strategies to aid in desulphurization of hot metal in torpedo ladles. Various control strategies will also be compared, e.g. adaptive model algorithmic control (AMAC), internal model control (IMC), fuzzy control strategies.

Programm/Programme

ECSC-STEELRES 8C - Medium-term guidelines (ECSC) for the programmes of technical steel research and of steel pilot/demonstration projects, 1991-1995

Thema/Themen

B - Reduction of iron ores

Aufforderung zur Vorschlagseinreichung

Data not available

Finanzierungsplan

Data not available

Koordinator

Consorzio Pisa Ricerche

EU-Beitrag

Keine Daten

Adresse

Corso Italia 116
I - 56125 Pisa
Italien

Links

Website

Gesamtkosten