Date of Award

1-1-2016

Document Type

Thesis

Degree Name

M.S.

Department

Mechatronics Systems Engineering

First Advisor

Kyoung-Dae Kim, Ph.D.

Keywords

Artificial Potential Function, Autonomy, Collision Avoidance, Quadrotor, Teleoperation, UAV

Abstract

This thesis presents the design of a super-ellipsoidal potential function (SEPF) that can be used, in a static and dynamic environment, for autonomous collision avoidance of an unmanned aerial vehicle (UAV) in a 3-dimensional space. In the design of the SEPF, we have the full control over the shape and size of the potential function. In our proposed approach, a teleoperated UAV can not only autonomously avoid collision with surrounding objects but also track the operator' control input as closely as possible. As a result, an operator can always be in control of the UAV for his/her high-level guidance and navigation task without worrying too much about the UAV collision avoidance while it is being teleoperated. The effectiveness of the proposed approach is demonstrated through a human-in-the-loop simulation using virtual robot experimentation platform (v-rep) and Matlab programs and experimentation using a physical quadrotor UAV in a laboratory environment.

Copyright Statement / License for Reuse

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Provenance

Received from ProQuest

Rights holder

Mohammed Salim Qasim

File size

82 p.

File format

application/pdf

Language

en

Discipline

Electrical Engineering, Mechanical Engineering, Computer Engineering

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