Designs Neuro-Fuzzy Models in Control Problems of a Steam Heater
| Autor: | Siddikov Isamidin Xakimovich, Bakhrieva Xurshida Askarxodjaevna |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Universal Journal of Electrical and Electronic Engineering. 6:359-365 |
| ISSN: | 2332-3299 2332-3280 |
| DOI: | 10.13189/ujeee.2019.060506 |
| Popis: | The article deals with the design of neuro-fuzzy models in the tasks of creating a system of automatic control by technological processes of steam-generating heat engines. A methodology has been developed for creating a temperature control system for a superheated operating under a priori uncertainties. Such control systems relate to adaptive systems capable of controlling the object with significant, previously unknown, changes in the parameters of the object. The use of an artificial neuron is proposed as adaptive regulation. A fuzzy model of the proportional-integral-differential-regulator adapter has been developed, an automatic control system based on the Mamdani algorithm. The proposed method for constructing an adaptive controller makes it possible to exclude the active identification stage from the automatic tuning process and the associated deterioration in the operation of the regulatory object. The feasibility and effectiveness of the method is proven experimentally. Computer testing of the obtained model in uncertain conditions was carried out, when the values of the transfer function of a complex control object changed. Regulation is carried out on the basis of the proposed hybrid high-speed algorithm of fuzzy-logical derivation of the main parameters: vapor pressure and temperature. The algorithm for setting the weight coefficients of the neuron is presented. The use of an adaptive fuzzy-logical controller allows us to provide a fairly good quality of controlling the temperature of superheated steam. To create process control algorithms, a hybrid application of a neural network and fuzzy logic is proposed, which allows taking into account the uncertainty of changes in the parameters of the object and the environment. The results can be used in the development of adaptive control systems and other heat power devices. |
| Databáze: | OpenAIRE |
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