Intelligent agent based power management for UAV systems

Author

Ong, M. ; Bryan, F.J. ; Hook, M.K. ; Bossard, J.C. ; Todd, R. ; Forsyth, A.J. ; Thompson, H.

Author_Institution

Rolls-Royce UTC, Univ. of Sheffield, Sheffield, UK

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

6

Abstract

An intelligent agents based platform is presented which offers an instantaneous, automatic decision-making capability, enabling the execution of complex system level power management and mission planning/re-planning tasks on board a UAV. The agents platform is integrated with a 100 kW, aircraft power systems experimental test facility to demonstrate the response of the entire system to vignette- based mission events which are triggered both by the test hardware, such as electrical drive faults, and emulated events, such as a fuel shortage.

Keywords

aerospace engineering; aircraft; aircraft power systems; autonomous aerial vehicles; decision making; multi-agent systems; power engineering computing; UAV systems; aircraft power systems; automatic decision-making capability; complex system level power management; electrical drive faults; emulated events; fuel shortage; intelligent agent-based platform; intelligent agent-based power management; mission planning-re-planning tasks; power 100 kW; test hardware; vignette-based mission events; Intelligent agents; UAV; more-electric-aircraft; power management;

fLanguage

English

Publisher

iet

Conference_Titel

Power Electronics, Machines and Drives (PEMD 2012), 6th IET International Conference on

Conference_Location

Bristol

Electronic_ISBN

978-1-84919-616-1

Type

conf

DOI

10.1049/cp.2012.0173

Filename

6242022