This article describes research on the classification of flight phases using a fuzzy inference system and an artificial neural network. The aim of the research was to identify a small set of input parameters that would ensure correct flight phase classification using a simple classifier, meaning a neural network with a low number of neurons and a fuzzy inference system with a small rule base. This was done to ensure that the created classifier could be implemented in control units with limited computational power in small affordable UAVs. The functionality of the designed system was validated by several experimental flights using a small fixed-wing UAV. To evaluate the validity of the proposed system, a set of special maneuvers was performed during test flights. It was found that even a simple feedforward artificial neural network could classify basic flight phases with very high accuracy and a limited set of three input parameters.

This article is focused on wireless communication among Unmanned Aerial Vehicles (UAVs) and a ground station (GS). Research in this article is oriented on establishing and transferring information between UAV device and GS in the case when direct radio link doesn’t exist. The idea of Fly Ad-Hoc Network (FANET) is implemented for establishing a multihop connection among devices. The theory and classification of routing protocols for FANET, as special type of Mobile Ad-Hoc Networks (MANET), are presented. In this article is proposed communication model providing communication in that case and its functionality is confirmed by set of simulations for different types of mobility models and levels of velocity for UAV.

The article presents implementation and analysis of fuzzy interference systems and neural networks to create an intelligent decision system for a small, unmanned aircraft with fixed wings (airplane). The design of the intelligent decision system focuses on determination of a battery failure during flight in a case study. This critical micro situation is manifested by unstable voltage of the power supply and sudden decrease in the provided current. The aim of the article is to design a system that can detect a failure in the batteries on a small, unmanned airplane, and at the same time the system would be able to correctly identify and optimize its flight configuration.