Name: Milton César Paes Santos
Type: PhD thesis
Publication date: 20/10/2017

Namesort descending Role
Alexandre Santos Brandão Co-advisor *
Mario Sarcinelli Filho Advisor *
Ricardo Carelli Co-advisor *

Examining board:

Namesort descending Role
Alexandre Santos Brandão Co advisor *
Daniel Ceferino Gandolfo External Examiner *
Lucas Vago Santana External Examiner *
Mario Sarcinelli Filho Advisor *
Ricardo Carelli Co advisor *
Vicente Antonio Mut External Examiner *
Wanderley Cardoso Celeste External Examiner *

Summary: This thesis proposes nonlinear controllers to be applied to unmanned aerial vehicles (UAVs) in positioning, trajectory-tracking and path-following missions in 3D airspace. In addition, a prototype of a platform conceived to allow using UAVs in indoor environments is shown, with several computational tools that allows using aerial robots in such classic navigation missions. In order to contextualize the developed tools, we highlight the development of algorithms for the detection and localization of objects in the environment and a decentralized sensorial fusion structure that is used to improve the measurement of the posture data (position and orientation) of the UAVs, in addition to detecting obstacles. Subsequently, the same fusion filter is used to combine PVTOL (Planar Vertical Takeoff and Landing) control signals, relaxing the aircraft motion constraints, previously limited to displacement along the Z axis and the XZ and YZ vertical planes. Complementarily, the implementation of navigation and control systems is based on two different dynamic models, one simple and the other detailed. The control systems are designed using classic model inversion techniques, which has shown to be an efficient methodology for the design of controllers for the developed applications, namely positioning, trajectory-tracking and path-following. Additionally, a collision avoidance controller, an adaptive controller, and a controller with maximum speed saturation are designed. The stability of such controllers
is demonstrated by the asymptotic convergence of the control variables and by the fulfillment of the control objective during the simulations and experiments performed, as expected from the theoretical analysis.
Keywords: Unmanned aerial vehicles (UAVs), nonlinear control, sensorial fusion, autonomous navigation, aerial robotics.

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