UAV collision avoidance: a specific acceleration matching approach

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.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2011

Author dc:creator

• Patel, Amir

Advisor dc:contributor.advisor

• Winberg, Simon

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/11582

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/11582