ICUAS 2021 Paper Abstract

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Paper ThA1.6

Sharma, Prashin (University of Michigan), Atkins, Ella (University of Michigan)

Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small UAS Energy System

Scheduled for presentation during the Regular Session "FDI and Safety" (ThA1), Thursday, June 17, 2021, 12:10−12:30, Macedonia Hall

2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 15-18, 2021, Athens, Greece

This information is tentative and subject to change. Compiled on March 29, 2024

Keywords Fail-Safe Systems, Control Architectures, Manned/Unmanned Aviation

Abstract

Batteries have been identified as one of the most likely small unmanned aircraft system (sUAS) components to fail in flight. sUAS safety will therefore be improved with redundant or backup batteries. This paper presents a prognostics-informed Markov Decision Process model for managing multi-battery reconfiguration for sUAS missions. Typical lithium polymer battery properties are experimentally characterized and used in Monte Carlo simulations to establish battery dynamics in sUAS flights of varying duration. Case studies illustrate the trade-off between multi-battery system increased complexity/weight and resilience to non-ideal battery performance.

 

 

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