|
|
eaDonNTU, Donetsk >
Научные труды ДонНТУ >
Серія: Електротехніка та енергетика >
Випуск № 1 (14) >
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://ea.donntu.ru/handle/123456789/23190
|
| Название: | АНАЛІЗ СТРУКТУР НЕЧІТКИХ РЕГУЛЯТОРІВ ДУГОВИХ СТАЛЕПЛАВИЛЬНИХ ПЕЧЕЙ |
| Другие названия: | Анализ структур нечетких регуляторов дуговых сталеплавильных печей
Analysis of the Electric Arc Furnaces’s Fuzzy Regulator Structure |
| Авторы: | ЛОЗИНСЬКИЙ, А. О.
ПАРАНЧУК, Я. С.
ДЕМКІВ, Л. І.
ЛОЗИНСКИЙ, А. О.
ДЭМКИВ, Л. И.
LOZYNSKYY, A.
PARANCHUK, J.
DEMKIV, L. |
| Ключевые слова: | electrodynamic system
automatic control system
arc furnace
PID-controller
fuzzy corrector
fuzzy controller
fuzzy logic
membership function
электродинамическая система
система автоматического управления
дуговая сталеплавильная печь
ПИД-регулятор
нечеткий корректор
нечеткий регулятор
нечеткая логика
функция принадлежности
електродинамічна система
система автоматичного керування
дугова сталеплавильна піч
ПІД-регулятор
нечіткий коректор
нечіткий регулятор
нечітка логіка
функція належності |
| Дата публикации: | 2013 |
| Издатель: | ДонНТУ |
| Библиографическое описание: | Наукові праці Донецького національного технічного університету. Серія "Електротехніка і енергетика". № 1 (14), 2013 р., 358 с. |
| Аннотация: | Розглянуто системні підходи до структур регуляторів у системах автоматичного керування електричними режимами дугових сталеплавильних печей. Проведено аналіз підходів до синтезу нечітких
регуляторів для дугових сталеплавильних печей. Проведено дослідження динамічних характеристик систем з нечіткими регуляторами та проведено порівняльний аналіз запропонованих нечітких систем з типовими. |
| Описание: | Application of linear control theory for
controllers regime synthesis does not ensure the desired performance of the system for a large number of processes and electrical facilities. In most cases, the synthesis methods of nonlinear systems are aimed at ensuring the stability of
systems rather than forming its behavior in dynamics. Modern methods of control theory, in particular, feedback
linearization, robust control are difficult for application to such objects. It is concerned both to the complexity of
mathematical models that describe such objects or processes and to the complexity of the synthesis procedure of the
control action. One of the possible ways to improve the performance of complex systems is to combine classical
control theory with intellectual approaches. The main regulator in such systems is synthesized by means of the linear
control theory and the task of fuzzy controller is to develop corrective actions to compensate the parametric
perturbation, discrepancy of the model for which the managing impact by means of the linear control theory was
synthesized. Synthesis of such regulators is mainly conducted using expert knowledge and method of enumeration.
Direct application of the Takagi-Sugeno controller, synthesized using the method, for complex systems leads to
cumbersome rule bases, since the synthesized control action is a function of many variables for each of which its own
linguistic variables are defined. Known approaches to the synthesis of PID controller based on fuzzification of only control error can be successfully used for the synthesis of Takagi-Sugeno full state feedback controller. This paper
investigates the system of electric arc furnace’s electrode regulation. Taking into account the complexity of the object,
classical control theory application does not allow constructing cost-effective systems, and existing control systems do
not fully provide all the requirements. We analyze the effectiveness of two of the above mentioned approaches, namely
a control system with correction fuzzy controller and system for system which regulates electrodes in arc furnace. In
the literature there are no approaches to the fuzzy corrector synthesis and at the same time to synthesis full state
feedback control one uses well-known classical methods. Analysis of the results obtained suggests that the application
of the principles of predictive control in comparison to a system with impedance controller provides faster output for a
specified level of system functioning without overshoot. So, comparing each studied system one should note almost
complete absence of overshoot and vibrational motions at application of intelligent control systems which increases
durability of arc furnace mechanisms. In case of short circuit fuzzy controller with corrector has a significant (up to
two times compared to other monitored regulators) winning time of entering the default mode with almost no fluctuations. However, at other modes, in particular changes in arc length, this regulator essentially losses to a fuzzy
full state feedback regulator. Furthermore, fuzzy corrector has the larger error in the steady state, although it is within
acceptable limits, since there is a 20% dead zone present in the system. The loss of fuzzy full state feedback controller
can be removed by taking a different controller structures, including changing the value of mean geometric root or
system performance speed. The obtained results confirm the expediency of intelligent control systems for arc furnaces
at upgrading or designing new ACS for such control systems instead of impedance control, because in this way one can
obtain improvements by all studied parameters. |
| URI: | http://ea.donntu.edu.ua/handle/123456789/23190 |
| Располагается в коллекциях: | Випуск № 1 (14)
|
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.
|
