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Page 1: Intelligent Power Management for Unmanned Aerial Vehicles

Intelligent Power Management for Unmanned Aerial Vehicles

James GrahamRoger Dixon, Pete HubbardLoughborough University

UKACC PhD Presentation Showcase

http://www.lboro.ac.uk/
http://www.lboro.ac.uk/
Page 2: Intelligent Power Management for Unmanned Aerial Vehicles

UKACC PhD Presentation Showcase Slide 2

Introduction Predict the thermal state of generator Use Predictions to make informed load

management decisions

http://www.lboro.ac.uk/
Page 3: Intelligent Power Management for Unmanned Aerial Vehicles

UKACC PhD Presentation Showcase Slide 3

Method

KalmanFilter

ThermalNetworkModel

http://www.lboro.ac.uk/
Page 4: Intelligent Power Management for Unmanned Aerial Vehicles

Thermal Network Model

UKACC PhD Presentation Showcase Slide 4

http://www.lboro.ac.uk/
Page 5: Intelligent Power Management for Unmanned Aerial Vehicles

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

http://www.lboro.ac.uk/
Page 6: Intelligent Power Management for Unmanned Aerial Vehicles

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

http://www.lboro.ac.uk/

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