Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/33857
Title: Modelling of the automatic stabilization system of the aircraft course by a fuzzy logic method
Authors: Mamonova, Tatiana Egorovna
Syryamkin, Vladimir Ivanovich
Vasilyeva, Татьяна Викторовна
Keywords: моделирование; автоматические системы; летательные аппараты; метод нечеткой логики; ПИД-регуляторы; искусственный интеллект; нечеткое регулирование
Issue Date: 2016
Publisher: IOP Publishing
Citation: Mamonova T. E. Modelling of the automatic stabilization system of the aircraft course by a fuzzy logic method / T. E. Mamonova, V. I. Syryamkin, T. Vasilyeva // IOP Conference Series: Materials Science and Engineering. — 2016. — Vol. 124 : Mechanical Engineering, Automation and Control Systems (MEACS2015) : International Conference, 1–4 December 2015, Tomsk, Russia : [proceedings]. — [012075, 6 p.].
Abstract: The problem of the present paper concerns the development of a fuzzy model of the system of an aircraft course stabilization. In this work modelling of the aircraft course stabilization system with the application of fuzzy logic is specified. Thus the authors have used the data taken for an ordinary passenger plane. As a result of the study the stabilization system models were realised in the environment of Matlab package Simulink on the basis of the PID-regulator and fuzzy logic. The authors of the paper have shown that the use of the method of artificial intelligence allows reducing the time of regulation to 1, which is 50 times faster than the time when standard receptions of the management theory are used. This fact demonstrates a positive influence of the use of fuzzy regulation.
URI: http://earchive.tpu.ru/handle/11683/33857
Appears in Collections:Материалы конференций

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