Development of control systems for movement mechanisms of electric drives based on neural networks
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Дата
2018
ORCID
DOI
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Видавець
Institute of Thermomechanics AS CR, v.v.i., Czech Republic
Анотація
The paper presents the results of the development and investigations of intelligent control systems for electric drives of DC and AC movement mechanisms. It is shown that the use of methods of genetic algorithms for training and structural optimization of neural systems makes it possible to synthesize the control law excluding the self-oscillating process arising from the nonlinearity of the "friction pair" type load. The developed systems have a single easily realizable feedback on the speed of the motor which does not create difficulties in physical realization.
Опис
Ключові слова
neural network control system, genetic algorithm, DC motor of sequential excitation, induction motor, electric drive, transient
Бібліографічний опис
Kutovoi Yu. N. Development of control systems for movement mechanisms of electric drives based on neural networks [Electronic resource] / Yu. N. Kutovoi, I. V. Obruch, T. Yu. Kunchenko // Acta Technica. – Electron. text data. – 2018. – Vol. 63. – No. 5. – P. 641-656. – URL: http://journal.it.cas.cz/63(2018)-5/Complete%20Issue%2063(2018)-5.pdf, free (accessed 09.01.2023).