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Modeling, Simulation and Control System Design for Civil Unmanned Aerial Vehicle (UAV)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Robotics and Control)
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Unmanned aerial systems have been widely used for variety of civilian applications over the past few years. Some of these applications require accurate guidance and control. Consequently, Unmanned Aerial Vehicle (UAV) guidance and control attracted many researchers in both control theory and aerospace engineering. Flying wings, as a particular type of UAV, are considered to have one of the most efficient aerodynamic structures. It is however difficult to design robust controller for such systems. This is due to the fact that flying wings are highly sensitive to control inputs.

The focus of this thesis is on modeling and control design for a UAV system. The platform understudy is a flying wing developed by SmartPlanes Co. located in Skellefteå, Sweden. This UAV is particularly used for topological mapping and aerial photography.

The novel approach suggested in this thesis is to use two controllers in sequence. More precisely, Linear Quadratic Regulator (LQR) is suggested to provide robust stability, and Proportional, Integral, Derivative (PID) controller is suggested to provide reference signal regulation. The idea behind this approach is that with LQR in the loop, the system becomes more stable and less sensitive to control signals. Thus, PID controller has an easier task to do, and is only used to provide the required transient response.

The closed-loop system containing the developed controller and a UAV non-linear dynamic model was simulated in Simulink. Simulated controller was then tested for stability and robustness with respect to some parametric uncertainty. Obtained results revealed that the LQR successfully managed to provide robust stability, and PID provided reference signal regulation.

Place, publisher, year, edition, pages
2014. , 115 p.
Robotics and control lab, ISSN 1654-5419
Keyword [en]
Flying wing, Linear Quadratic Regulator (LQR), Modeling, PID, Robustness, UAV
National Category
URN: urn:nbn:se:umu:diva-96458OAI: diva2:764867
External cooperation
SmartPlanes AB.
Subject / course
Educational program
Master's Programme in Robotics and Control
2014-10-01, Ljusgården, Teknikhuset, Umeå universitet, Umeå, 15:30 (English)
Available from: 2014-11-20 Created: 2014-11-20 Last updated: 2014-11-20Bibliographically approved

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