UAV collision avoidance: a specific acceleration matching approach

Master Thesis

2011

Permanent link to this Item
http://hdl.handle.net/11427/11582
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thesis_ebe_2011_patel_a.pdf (5.87 MB)
Authors
Patel, Amir
Supervisors
Winberg, Simon
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University of Cape Town

Department
Department of Electrical Engineering
Faculty
Faculty of Engineering and the Built Environment
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Abstract
An increased level of autonomy is required for future Unmanned Aerial Vehicle (UAV) missions. One of the technologies required for this to occur is an adequate sense and avoid system to enable the UAV to detect threat aircraft and take evasive action if required. This thesis investigates a collision avoidance system to satisfy a significant portion of the requirements for sense and avoid. It was hypothesised that a recently published method of UAV guidance, Specific Acceleration Matching (SAM) Control, could address the shortcomings of the current implementations. Additionally, a novel algorithm, the Linear 3D Velocity Guidance Control Algorithm (3DVGC) was developed to address the particular requirements of UAV collision avoidance.
Description

Includes abstract.


Includes bibliographical references.

Keywords
Electrical Engineering

Reference:

Patel, A. 2011. UAV collision avoidance: a specific acceleration matching approach. University of Cape Town.

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Masters