Abstract

The aim of research is to study the modern algorithms used in autopilots of unmanned aerial vehicles and formulation of the problem of development and usage of new intellectual methods for automatic control systems. The approach considered in the article is based on the theory of high-precision remote control of dynamic objects and on the complex interaction of methods of theory of invariance, adaptive control and intellectualization of processes of UAV control. One of the features of the proposed method of intellectual control for unmanned aerial vehicle autopilot is the procedure of transforming a multi-dimensional system into an aggregate of virtual autonomous processes, for each of which the control algorithm is easily generated by an autonomous subsystem. Coming up next is the procedure of coordination of actions of all the autonomous systems into single functioning complex. This provides an opportunity to improved precision and sustainability of control. Using the method described in the article allows creating integral and adaptive autopilots to perform complicated spatial maneuvering an unmanned aerial vehicle being based on usage of full non-linear models without simplifications and linearization.

Highlights

  • At present unmanned aerial vehicles (UAVs) are successfully used in various industries in performing scientific and engineering, economical, military and a number of other missions

  • The modern way of onboard control systems development reckons for control algorithms implementation using programmed modules written in high level programming languages based on the microprocessors of computing capacity being enough for the algorithms, in the form of a UAV’s single autopilot hardware and software suit, to be realized (Fahlstrom & Gleason, 2012)

  • The present article is dedicated to the modern algorithms study aspects that are used in UAV’s AP and formulation of the problem of generation and usage of intellectual methods and UAV automatic control systems as well as description of the UAV intellectual control method proposed by the authors

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Summary

Introduction

At present unmanned aerial vehicles (UAVs) are successfully used in various industries in performing scientific and engineering, economical, military and a number of other missions. Effectiveness of their functioning is mainly determined by an onboard suit of hardware and software of a UAV’s control system, which, as a rule, is done by means of integrated avionics being based on a single computing platform. The automatic control system (ACS) mission is to provide the required dynamic precision within a wide range of aircraft parameters change. The process of the existing autopilot systems enhancement is intended to broaden the range of UAV’s tasks without direct human involvement and introduce additional smart functions into autopilot operation

Methodology and theoretical background
Gritsenko et al Integral adaptive autopilot for an unmanned aerial vehicle
Review of the control methods of modern UAV’s autopilots
Development and description of integral adaptive autopilot
Conclusions
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