Modelling of the automatic stabilization system of the aircraft course by a fuzzy logic method

Modelling of the automatic stabilization system of the aircraft course by a fuzzy logic method

Bibliographic Details
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 124 : Mechanical Engineering, Automation and Control Systems (MEACS2015).— 2016.— [012075, 6 p.]
Main Author: Mamonova T. E. Tatiana Egorovna
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Other Authors: Syryamkin V. I. Vladimir Ivanovich, Vasilyeva T. Татьяна Викторовна
Summary:Title screen
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.
Published: 2016
Series:Numerical Simulation of Applied Problems
Subjects:
электронный ресурс
труды учёных ТПУ
моделирование
автоматические системы
летательные аппараты
метод нечеткой логики
ПИД-регуляторы
искусственный интеллект
нечеткое регулирование
Online Access:http://dx.doi.org/10.1088/1757-899X/124/1/012075
http://earchive.tpu.ru/handle/11683/33857
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648545

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