Unmanned aerial vehicle design for improved manuvarability

Abstract

This thesis presents a non linear automatic unmanned aerial vehicle (UAV) control simulation demonstrating high maneuverability and precise tracking performance on a simulation testbed. High maneuverability leads to satisfy the requirements of future missions. Much of the recent research on UAVs focus on multiple UAV coordination planning and path planning and the high maneuverability controllers are given minimal attention. Major requirements for the high maneuverability are better dynamic stability with fast response and low coupling between control commands. This research work is presented that way to modify classical system with merging with modern concepts to achieve high maneuverability. State feedback method, decoupling techniques and duel loop method are used for autopilot controller implementation. Simulation results confirm the validity of proposed techniques, which have been used to enhance autopilot capabilities with less complexity. Non liner effects due to normal mission profile were also measured.