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The method selection of control system’s parametric optimization

Publication date: 29.12.2016

Technical Transactions, 2016, Electronical Engineering Issue 3-E 2016, pp. 237 - 249

https://doi.org/10.4467/2353737XCT.16.280.6079

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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,
Andrii Pavelchak
Department of Computerized Automatic System, Lviv Polytechnic National University, Ukraine
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Ulyana Dzelendzyak
Department of Computerized Automatic Systems, Lviv Polytechnic National University
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Titles

The method selection of control system’s parametric optimization

Abstract

In this article the methods’ review of a control system’s parametric optimization have been performed. According to the revealed analysis, the genetic algorithms have been chosen as the most appropriate tools for these tasks. Using genetic algorithms, the global optimum could be identified. To demonstrate it the system’s parametric optimization, which consists of controlled three phase half wave rectifier and DC motor with independent excitation has been executed, using a classic genetic algorithm.

References


Information

Information: Technical Transactions, 2016, Electronical Engineering Issue 3-E 2016, pp. 237 - 249

Article type: Original article

Titles:

Polish:

The method selection of control system’s parametric optimization

English:

The method selection of control system’s parametric optimization

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 System, Lviv Polytechnic National University, Ukraine

Department of Computerized Automatic Systems, Lviv Polytechnic National University

Published at: 29.12.2016

Article status: Open

Licence: None

Percentage share of authors:

Volodymyr Samotyy (Author) - 33%
Andrii Pavelchak (Author) - 33%
Ulyana Dzelendzyak (Author) - 34%

Article corrections:

-

Publication languages:

English