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Kalman Filter Implementation for Unmanned Aerial Vehicles Navigation Developed within a Graduate Course

Authors:Sazdovski Vasko, Faculty of Electrical Engineering, Macedonia, The Former Yugoslav Republic of
Kolemishevska-Gugulovska Tatjana, Faculty of Electrical Engineering, Macedonia, The Former Yugoslav Republic of
Stankovski Mile, Faculty of Electrical Engineering, Macedonia, The Former Yugoslav Republic of
Topic:9.3 Developing Countries
Session:Combined Knowledge and Technology Transfer II
Keywords: Kalman filters, inertial navigation, Global positioning systems, aerospace control, simulation

Abstract

Part-time studies of the MSc program as source of number of technical and scientificinnovations in Automation and Computer Based Systems Engineering at Faculty of ElectricalEngineering of SS Cyril and Methodius University in Skopje, are run for more than 15 years.This innovation in Unmanned Aerial Vehicles (UAV’s) is the most recent one. The system that provides us the navigational parameters is called Navigation System. The most used Navigation Systems, developed for a wide range of vehicles, are Inertial Navigation System (INS) and Global Positioning System (GPS). These two systems have their advantages and disadvantages, which makes them complementary. The best estimates of the aircraft position, velocity and attitude can be obtained by GPS/INS integration employing Kalman filter implementation Copyright © 2005 IFAC.