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Базовые алгоритмы адаптивного управления синхронным генератором с эталонной моделью

Базовые алгоритмы адаптивного управления синхронным генератором с эталонной моделью

Abstract

The article discusses the the problem of controlling a synchronous generator, namely, maintaining the stability of the control object in the conditions of occurrence of noise and disturbances in the regulatory process. The model of a synchronous generator is represented by a system of differential equations of Park-Gorev, where state variables are computed relative to synchronously rotating d, q-axis. Management of synchronous generator is proposed to organize on the basis of the position-path control using algorithms to adapt with the reference model. Basic control law directed on the stabilizing indicators the frequency generated by the current and the required power level, which is achieved by controlling the mechanical torque on the shaft of the turbine and the value of the excitation voltage of the synchronous generator. Modification of the classic adaptation algorithm using the reference model, allowing to minimize the error of the reference regulation and the model under investigation within the prescribed limits, produced by means of the introduction of additional variables controller adaptation in the model. Сarried out the mathematical modeling of control provided influence on the studied model of continuous nonlinear and unmeasured the disturbance. Simulation results confirm the high level accuracy of tracking and adaptation investigated model with respect to the reference, and the present value of the loop error depends on parameters performance of regulator.

В статье рассматривается задача управления синхронным генератором, а именно, сохранение устойчивости объекта управления в условиях возникновения шумов и возмущений в процессе регулирования. Модель синхронного генератора представлена системой дифференциальных уравнений Парка-Горева, определяющих переменные состояния относительно синхронно вращающихся d, q-осей. Управление синхронным генератором предлагается организовать на базе позиционно-траекторного регулирования с использованием алгоритмов адаптации с эталонной моделью. Базовый закон управления направлен на стабилизацию показателей частоты генерируемого тока и необходимого уровня мощности, что достигается за счет управления механическим моментом на валу турбины и значением напряжения возбуждения синхронного генератора. Модификация классического алгоритма адаптации с применением эталонной модели, позволяющая минимизировать ошибки регулирования эталонной и исследуемой модели в заданных пределах, производится по средствам введения в модель дополнительных переменных адаптации регулятора. Проведено математическое моделирование процесса управления при условии влияния на исследуемую модель постоянного нелинейного и не измеряемого возмущения. Результаты моделирования подтверждают высокий уровень точности слежения и адаптации исследуемой модели по отношению к эталонной, а значение присутствующей ошибки регулирования зависит от параметров быстродействия регулятора.

Keywords

ПОЗИЦИОННО-ТРАЕКТОРНОЕ УПРАВЛЕНИЕ,АЛГОРИТМЫ АДОПТАЦИИ,ЭТАЛОННАЯ МОДЕЛЬ,СИНХРОННЫЙ ГЕНЕРАТОР,POSITION-PATH CONTROL,ADAPTATION ALGORITHMS,REFERENCE MODEL,SYNCHRONOUS GENERATOR

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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