Amplitude-Frequency Characteristic of a Neural Control Based DC Drive

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dc.contributor.authorSergeev, S. A.en
dc.contributor.authorKlepikov, V. B.en
dc.contributor.authorMahotilo, K. V.en
dc.date.accessioned2017-07-03T10:18:13Z
dc.date.available2017-07-03T10:18:13Z
dc.date.issued1996
dc.description.abstractThe paper interprets characteristics of a neural-control-based DC servodrive in terms of the classical theory of automatic control. It also touches on the problem of choosing training patterns to synthesize a nonlinear PID-controller with a desired amplitude-frequency characteristic and analyses the efficiency of using for this purpose input signals in form of a step function and a harmonic one. Synthesis of the neurocontroller has been performed within the framework of a three-layer perceptron. To train it, a genetic algorithm has been developed.en
dc.identifier.citationSergeev S. A. Amplitude-Frequency Characteristic of a Neural Control Based DC Drive / S. A. Sergeev, V. B. Klepikov, K. V. Mahotilo // Tagungsband "Leistungselektronische Aktoren und intelligente Bewegungssteuerungen" Fachtagung, Magdeburg, Deutschland, 1996, pp. 47-53.en
dc.identifier.orcidhttps://orcid.org/0000-0001-7081-071X
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/30477
dc.language.isoen
dc.subjectartificial neural networksen
dc.subjectelectrical driveen
dc.subjectamplitude-frequency characteristicen
dc.titleAmplitude-Frequency Characteristic of a Neural Control Based DC Driveen
dc.typeThesisen

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