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Адаптивное управление синхронным генератором в режиме возникновения бифуркации

Адаптивное управление синхронным генератором в режиме возникновения бифуркации

Abstract

It is possible the chaos in the form of bifurcational states in the synchronous generators, because of which occurs the phenomenon a change in the qualitative dynamics of synchronous generators with a small change in the parameters. Standard regulators (linear, optimal and to them similar) do not give positive effect in the fight with the chaotic processes. In the article is solved the problem of control of synchronous generator in the regime of the appearance of bifurcation on the basis of the algorithm of adaptive control. For the solution of similar problems in general form by the method of the Lyapunov functions is synthesized the algorithm of inertia-free adaptation according to diagram with the tuned model. The control systems of the excitation of synchronous generator with the inertia-free adaptation show the ability of the limitation of the size of strange attractor in the regime of the appearance of bifurcation and even its complete suppression. The study based on Matlab/simulink of the transient processes of synchronous generator showed an essential improvement in the dynamic characteristics of synchronous generator. The results of a study enlarge knowledge about the application of adaptive control, by such technical objects with the uncertainty as synchronous generators, that work on the power system. The algorithm of inertia-free adaptation proposed is characterized by simplicity of construction and easily it is integrated into excitation system. It is effective in control of powerful and autonomous electric generators, electromechanical systems, and also by other technical objects with nonlinear dynamics.

В синхронных генераторах возможна хаотичность в виде бифуркационных состояний, из-за которой происходит явление изменение качественной динамики синхронных генераторов при малом изменении параметров. Стандартные регуляторы (линейные, оптимальные и им подобные) не дают положительного эффекта в борьбе с хаотическими процессами. В статье решается задача управления синхронным генератором в режиме возникновения бифуркации на основе алгоритма адаптивного управления. Для решения подобных задач в общем виде методом функций Ляпунова синтезирован алгоритм безынерционной адаптации по схеме с настраиваемой моделью. Системы регулирования возбуждения синхронного генератора с безынерционной адаптацией показывают способность ограничения размера странного аттрактора в режиме возникновения бифуркации и даже его полного подавления. Исследование в среде Simulink Toolbox переходных процессов синхронного генератора показало существенное улучшение динамических характеристик синхронного генератора. Результаты исследования расширяют знания о применении адаптивного управления, такими техническими объектами с неопределенностью как синхронные генераторы, работающими на энергосистему. Предложенный алгоритм безынерционной адаптации отличается простотой построения и легко интегрируется в систему возбуждения. Эффективен в управлении мощными и автономными электрогенераторами, электромеханическими системами, а также другими техническими объектами с нелинейной динамикой.

Keywords

НЕОПРЕДЕЛЕННОСТЬ ОПИСАНИЯ ТЕХНИЧЕСКОГО ОБЪЕКТА, ДИНАМИЧЕСКИЕ ПРОЦЕССЫ, БИФУРКАЦИОННЫЕ СОСТОЯНИЯ, БЕЗЫНЕРЦИОННОЕ АДАПТИВНОЕ УПРАВЛЕНИЕ, МЕТОД ФУНКЦИЙ ЛЯПУНОВА, СХЕМА АДАПТИВНОЙ СИСТЕМЫ С НАСТРАИВАЕМОЙ МОДЕЛЬЮ, СИСТЕМА ВОЗБУЖДЕНИЯ СИНХРОННОГО ГЕНЕРАТОРА, РАБОТАЮЩЕГО НА ЭНЕРГОСИСТЕМУ, ТОЧКА БИФУРКАЦИИ, УПРАВЛЕНИЕ СИНХРОННЫМ ГЕНЕРАТОРОМ, АДАПТИВНОЕ УПРАВЛЕНИЕ, ОГРАНИЧЕНИЕ ХАОТИЧНОСТИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold