• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.239-242
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• 2016

In recent years, Unmanned Aerial Vehicles (UAV) have been developed for both military and civilian activities in regions where the presence of onboard human pilots is risky or not necessary. However, UAV require a high demand of power to achieve its missions such as taking images/videos in a certain area or surveillance activities. Therefore, this situation triggers the need of techniques to reduce power consumption for UAV to complete its mission safely. One of the methods is to use a waypoint optimization procedure which deals with a pre-specified set of waypoints to find a minimum route to fly through those waypoints in order to reduce power consumption. In this paper, due to the UAV's multidisciplinary which makes it impossible to be represented as an analytical model, we design a simulation model of UAV using MATLAB Simulink and AeroSim Blockset, an analysis package in aerospace industry. The simulation model is then coupled with optimization algorithms along with a set of waypoints (flight path) in order to measure at which percentage power consumption can be minimized for UAV.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.12
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• pp.1217-1224
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• 2014

This paper presents a modified track guidance algorithm for formation flight of multiple UAVs. The suggested guidance algorithm is the spatial version of the first order dynamic characteristics for a time-dependent system so the algorithm is able to generate a path without overshoot to track the desired line. A crucial design parameter is a spatial constant that controls the shape of the convergence to an assigned flight path similarly to a time constant. Reference flight trajectories are designed based on a two-dimensional vehicle model, and the performance of the proposed guidance law is verified by numerical simulation using rigid body UAV dynamics with MATLAB/Simulink Aerosim Blockset.