Abstract
The use of Unmanned Aerial Vehicles (UAVs) in multi-mission Unmanned Aerial Systems (UASs) has grown exponentially in recent years. Multi-UAV System of Systems (SoS) have proliferated due to their abilities to work autonomously, to decentralize mission workload and to exhibit resiliency in the ability to retain mission functionality even if a UAV node or network connectivity is lost. This resiliency is not inherent, and must be architected into both the SoS and UAV node/payload, especially in the areas of communications, control, ad-hoc networking, and path planning. As an exemplar, the Resilient System Engineering (RSE) process will be used to derive and identify resilience attributes for a Multi-UAV SoS architecture. For this paper, the Multi-UAV SoS will be tasked for Search and Rescue (SAR) and use a Time/Frequency Difference of Arrival (T/FDOA) based location algorithm to locate agents in distress. A simulation of the SAR SoS, using Contract-Based Design (CBD) invariant contracts are used to quantify the intended resilience/emergence attributes of the Multi-UAV SAR SoS and the T/FDOA location approach.
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