DEVELOPMENT OF THE ADAPTIVE NEURAL NETWORK REGULATOR OF THE INTELLIGENT CONTROL SYSTEM AVIATION ENGINE
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 6
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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