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Optimization of system parameters controlling electric furnace
temperature using genetic algorithms

Publication date: 08.02.2016

Technical Transactions, 2015, Electronical Engineering Issue 2-E (13) 2015, pp. 211-224

https://doi.org/10.4467/2353737XCT.15.097.3929

Authors

,
Volodymyr Samotyy
Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology; Department of Computerized Automatic Systems, Lviv Polytechnic National University
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Ulyana Dzelendzyak
Department of Computerized Automatic Systems, Lviv Polytechnic National University
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Titles

Optimization of system parameters controlling electric furnace
temperature using genetic algorithms

Abstract

The optimization of the parameters of the electric furnace temperature control was considered. The optimization was executed using genetic algorithms. The model takes into account nonlinearity, which is connected with the penetration of heat. Also, it is connected with losses of heat due to convection and radiation. The genetic algorithm determines the selection of parameters of the mathematical model in which the system accurately reproduces the input action.

References


Information

Information: Technical Transactions, 2015, Electronical Engineering Issue 2-E (13) 2015, pp. 211-224

Article type: Original article

Titles:

Polish:

Optimization of system parameters controlling electric furnace
temperature using genetic algorithms

English:

Optimization of system parameters controlling electric furnace
temperature using genetic algorithms

Authors

Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology; Department of Computerized Automatic Systems, Lviv Polytechnic National University

Department of Computerized Automatic Systems, Lviv Polytechnic National University

Published at: 08.02.2016

Article status: Open

Licence: None

Percentage share of authors:

Volodymyr Samotyy (Author) - 50%
Ulyana Dzelendzyak (Author) - 50%

Article corrections:

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Publication languages:

English

Optimization of system parameters controlling electric furnace
temperature using genetic algorithms

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