https://oldena.lpnu.ua/handle/ntb/50764
Title: | Neural network approach to direct parameter adaptation of longitudinal autopilots |
Authors: | Azarskov, V. N. Zhiteckii, L. S. Nikolaienko, S. A. Manziuk, M. S. Volkov, Yu. N. |
Affiliation: | National Aviation University Int. Centre of Information Technologies and Systems |
Bibliographic description (Ukraine): | Neural network approach to direct parameter adaptation of longitudinal autopilots / V. N. Azarskov, L. S. Zhiteckii, S. A. Nikolaienko, M. S. Manziuk, Yu. N. Volkov // Автоматика/Automatiсs – 2018 : матеріали XXV Міжнародної конференція з автоматичного управління, 18–19 вересня 2018 року, Львів. — Львів : Видавництво Львівської політехніки, 2018. — С. 175–176. — (Controlling the aerospace craft, marine vessels and other moving objects). |
Bibliographic description (International): | Neural network approach to direct parameter adaptation of longitudinal autopilots / V. N. Azarskov, L. S. Zhiteckii, S. A. Nikolaienko, M. S. Manziuk, Yu. N. Volkov // Avtomatyka/Automatiss – 2018 : materialy XXV Mizhnarodnoi konferentsiia z avtomatychnoho upravlinnia, 18–19 veresnia 2018 roku, Lviv. — Lviv : Vydavnytstvo Lvivskoi politekhniky, 2018. — P. 175–176. — (Controlling the aerospace craft, marine vessels and other moving objects). |
Is part of: | Автоматика/Automatiсs – 2018 : матеріали XXV Міжнародної конференція з автоматичного управління, 2018 |
Conference/Event: | XXV Міжнародна конференція з автоматичного управління "Автоматика/Automatiсs – 2018" |
Journal/Collection: | Автоматика/Automatiсs – 2018 : матеріали XXV Міжнародної конференція з автоматичного управління |
Issue Date: | 18-Sep-2018 |
Publisher: | Видавництво Львівської політехніки |
Place of the edition/event: | Львів Lviv |
Temporal Coverage: | 18–19 вересня 2018 року, Львів |
UDC: | 681.5 |
Keywords: | aircraft longitudinal autopilot flight regime parameter adaptation neural network |
Number of pages: | 2 |
Page range: | 175-176 |
Start page: | 175 |
End page: | 176 |
Abstract: | An improvement of longitudinal autopilots consisting of the digital PI and P controllers is addressed in this paper. In order to achieve a good performance of these autopilots a direct adaptation of their three parameters is proposed. To this end, the two-circuit feedback is added by the feedforward circuit containing a neural network which needs to be trained offline. The input signals of this neural network correspond to the airspeed and the altitude of an aircraft whereas its output signals are the three controller parameters to be adjusted if flight regime changes. The behavior of a new longitudinal autopilot is studied by simulation experiments. |
URI: | https://ena.lpnu.ua/handle/ntb/50764 |
ISBN: | 978-966-941-208-9 |
Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
References (Ukraine): | 1. Zhiteckii L.S., Azarskov V.N., Pilchevsky A.Yu., Solovchuk K.Yu. Design of digital autopilot for lateral motion control of an aircraft based on l1-optimization approach. Int. Journal of Engineering Research and Application, 2016. Vol. 6, P. 70–79. 2. Azarskov, V. N., Kucherov, D. P., Nikolaienko, S. A., Zhiteckii, L. S. Asymptotic behavior of gradient learning algorithms in neural network models for the identification of nonlinear systems. American Journal of Neural Networks and Applications, 2015. No 1, P. 1–10. 3. Zhiteckii, L.S., Azarskov, V.N., Nikolaienko, S.A., Solovchuk, K.Yu. Some features of neural networks as nonlinearly parameterized models of unknown systems using an online learning algorithm. Journal of Applied Math. and Physics, 2018. Vol.6, No.1, P. 247–263. |
References (International): | 1. Zhiteckii L.S., Azarskov V.N., Pilchevsky A.Yu., Solovchuk K.Yu. Design of digital autopilot for lateral motion control of an aircraft based on l1-optimization approach. Int. Journal of Engineering Research and Application, 2016. Vol. 6, P. 70–79. 2. Azarskov, V. N., Kucherov, D. P., Nikolaienko, S. A., Zhiteckii, L. S. Asymptotic behavior of gradient learning algorithms in neural network models for the identification of nonlinear systems. American Journal of Neural Networks and Applications, 2015. No 1, P. 1–10. 3. Zhiteckii, L.S., Azarskov, V.N., Nikolaienko, S.A., Solovchuk, K.Yu. Some features of neural networks as nonlinearly parameterized models of unknown systems using an online learning algorithm. Journal of Applied Math. and Physics, 2018. Vol.6, No.1, P. 247–263. |
Content type: | Article |
Appears in Collections: | Автоматика / Automatiсs. – 2018 р. |
File | Description | Size | Format | |
---|---|---|---|---|
2018_Azarskov_V_N-Neural_network_approach_175-176.pdf | 34.34 kB | Adobe PDF | View/Open | |
2018_Azarskov_V_N-Neural_network_approach_175-176__COVER.png | 363.17 kB | image/png | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.