intelligent power management for unmanned aerial vehicles
Post on 24-Feb-2016
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Intelligent Power Management for Unmanned Aerial Vehicles
James GrahamRoger Dixon, Pete HubbardLoughborough University
UKACC PhD Presentation Showcase
UKACC PhD Presentation Showcase Slide 2
Introduction Predict the thermal state of generator Use Predictions to make informed load
management decisions
UKACC PhD Presentation Showcase Slide 3
Method
KalmanFilter
ThermalNetworkModel
UKACC PhD Presentation Showcase Slide 5
ResultsTime (hours)
O 51 2 3 4
• Fault occurs at 67 mins• System changes load of both Gens to prevent overheat of faulty one
UKACC PhD Presentation Showcase Slide 6
Conclusion or summary or future work
Optimise load profiles to prevent overheat
Generator resting Load displacement to spare generators
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