Abstract
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.
Highlights
The quality of the developed systems of automatic control of technological processes is largely determined by the usefulness of the mathematical models used in the control of technological objects
The steam generating heat engines under consideration are the technological basis of many industrial facilities
The development of a temperature control system for a superheater operating under conditions of a priori uncertainty is expediently carried out using adaptive control methods
Summary
The quality of the developed systems of automatic control of technological processes is largely determined by the usefulness of the mathematical models used in the control of technological objects. The steam generating heat engines under consideration are the technological basis of many industrial facilities. This role requires close attention from both technologists and industrial automation specialists, because modern technological progress requires ensuring the optimal operation of equipment, reducing energy consumption, increasing reliability, efficiency, environmental friendliness with an increase in efficiency
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