Registration Number
0221U102174,
0119U100629
, R & D reports
Title
Development of an Integrated Guidance, Navigation and Flight Control System of Drone
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Head
Sushchenko Olha A, Доктор технічних наук
Registration Date
28-01-2021
Organization
National Aviation University
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The objects are navigation information processing, calculations in the system of guidance of the drone during the flight on a given trajectory, as well as the laws of control of the stabilization system on each axis. The goal is the development of a domestic competitive integrated guidance, navigation, and flight control system, capable to ensure the effective execution such tasks as remote sensing, cartography, monitoring and other civilian and military applications.
Automatic control theory, theory of control of holonomic and nonholonomic mechanical systems, theory of robust systems, fundamentals of inertial and satellite navigation, theory of optimal filtration are used, and improving methods of the robust parametrical optimization as applied to copter-type drones. The novelty lies in combination of controls of holonomic and nonholonomic systems, and improving the robust parametrical optimization for copter-type drones.
The technology of synthesis of the system for stabilizing parameters of drone angular and linear motions using modified methods of robust optimization including LMI-method for cases of holonomic and nonholonomic control has been developed. Also synthesis of systems of drone guidance on the flight on the given trajectory using theory of control of holonomic and nonholonomic systems was developed. Algorithms of trajectory control (guidance) of a drone in the disturbed atmosphere based on principles of control of holonomic and nonholonomic mechanical systems, and theory robust control are developed. Complex of algorithms and programs for drone optimal guidance on the given trajectory is created. An experimental sample of the hardware and software complex of the integrated system of guidance, navigation and flight control of the drone has been developed, in which the proposed optimization methods and algorithms have been implemented. The carried out experimental researches allow us to assert that the created sample is effective and perspective.
Product Description
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Ilnytska Svitlana I
Bilyk Artem Yu
Vyshniakova Yevheniia V
Hrekhov Andrii M
Zapolska Svitlana M
Kovalevskyi Eduard O
Kondratiuk Vasyl M
Kondratiuk Maryna V
Кукуш Олександр Георгійович
Larin Vitaliy Yu.
Nakhaba Oleksandr O
Semenenko Oleksandra V
Trykoz Valerii P
Tunik Anatolii A
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2021-01-28
