Genetic algorithm (GA)–based delay feedback control of chaotic behavior in the voltage mode controlled direct current (DC) drive system
| Autor: | Yılmaz Uyaroğlu, Selcuk Emiroglu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science Computer Science::Information Retrieval Feedback control 020208 electrical & electronic engineering Direct current Chaotic Mode (statistics) General Physics and Astronomy Dc drive 02 engineering and technology Experimental physics 020901 industrial engineering & automation Control theory Genetic algorithm 0202 electrical engineering electronic engineering information engineering Physical and Theoretical Chemistry Mathematical Physics Voltage |
| Zdroj: | Zeitschrift für Naturforschung A. 76:13-21 |
| ISSN: | 1865-7109 0932-0784 |
| DOI: | 10.1515/zna-2020-0164 |
| Popis: | In this paper, the chaotic behavior and chaos control in a voltage mode controlled DC drive system are investigated. The dynamical behavior of the system changing from the fundamental state to chaotic regime is obtained by the variation of some parameters. Two kinds of delay feedback controllers are designed to induce and control chaos in the voltage-mode DC drive system that exhibits chaotic behavior under certain conditions. The proposed control scheme is able to suppress chaos on the voltage mode controlled DC drive system operating in continuous conduction mode. With variation of controller parameters, the transition of dynamical behavior in the system has been demonstrated from different possible states to regular state, which may be named as period-1 operation. Unlike the traditional delay feedback control method, not only the feedback gain parameter K but also the delay parameter τ is used as variable parameters of the controller. Moreover, the genetic algorithm is used to simultaneously optimize both the feedback gain parameter K and delay parameter τ to improve the effectiveness of the controller. Numerical results show that the proposed method can control unstable periodic orbits and suppress chaos in the system, and also, optimized controller parameters provide fast response for transition from chaotic operation to normal operation. |
| Databáze: | OpenAIRE |
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