Title :
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
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;
Conference_Titel :
Power Electronics, Machines and Drives (PEMD 2012), 6th IET International Conference on
Conference_Location :
Bristol
Electronic_ISBN :
978-1-84919-616-1
DOI :
10.1049/cp.2012.0173