DEVELOPMENT OF THE ADAPTIVE NEURAL NETWORK REGULATOR OF THE INTELLIGENT CONTROL SYSTEM AVIATION ENGINE

Abstract

The analysis of possible schemes of inclusion of neural networks in the systems of automatic control of aviation engines is carried out. As a result, the advantages and disadvantages of the main methods of constructing engine control systems with neural network regulators have been identified. The algorithm of structural synthesis of a multi-mode neural network regulator GTE is developed on the basis of the principle of minimal complexity. The generalization of the algorithm of structural synthesis of multi-mode neural network regulators in the case of a multidimensional control system of the GTE is proposed. It is shown that the application of this algorithm allows to reasonably choose a class of one-dimensional and multidimensional structures of neural network regulators of minimal complexity.

Authors and Affiliations

С. В. Єнчев, С. О. Таку

Keywords

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  • EP ID EP580218
  • DOI -
  • Views 65
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How To Cite

С. В. Єнчев, С. О. Таку (2018). DEVELOPMENT OF THE ADAPTIVE NEURAL NETWORK REGULATOR OF THE INTELLIGENT CONTROL SYSTEM AVIATION ENGINE. Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки, 29(6), 34-39. https://europub.co.uk/articles/-A-580218