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Modelling and control of a hybrid electric propulsion system for unmanned aerial vehicles

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dc.creator Xie, Ye
dc.creator Savvaris, Al
dc.creator Tsourdos, Antonios
dc.creator Laycock, Jason
dc.creator Farmer, Andrew
dc.date 2018-09-07T13:39:42Z
dc.date 2018-09-07T13:39:42Z
dc.date 2018-06-28
dc.date.accessioned 2022-05-25T16:38:17Z
dc.date.available 2022-05-25T16:38:17Z
dc.identifier Ye Xie, Al Savvaris and Antonios Tsourdos, et al., Modelling and control of a hybrid electric propulsion system for unmanned aerial vehicles. Proceedings of the 2018 IEEE Aerospace Conference, 3-10 March, Big Sky, MA, USA.
dc.identifier 9781538620144
dc.identifier https://doi.org/10.1109/AERO.2018.8396436
dc.identifier http://dspace.lib.cranfield.ac.uk/handle/1826/13459
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/182316
dc.description This paper presents the modelling and control of a hybrid electric propulsion system designed for unmanned aerial vehicles. The work is carried out as part of the AIRSTART project in collaboration with Rotron Power Ltd. Firstly, the entire parallel hybrid powertrain is divided into two powertrains to facilitate the modelling and control. Following this, an engine model is built to predict the dynamics between the throttle request and the resulting output. It is then validated by comparing with experimental data. On the basis of d-q model of the motor/generator, a good estimation of torque loss at steady state is achieved using the efficiency map. Next, a rule-based controller is designed to achieve the best fuel consumption by regulating the engine to operating around its ideal operating line. Following the integration of the models and controller, the component behaviour and control logic are verified via the final simulation. By enabling the engine to operate at its best fuel economy condition, the hybrid propulsion system developed in this research can save at least 7% on fuel consumption when compared with an internal combustion engine powered aircraft.
dc.language en
dc.publisher IEEE
dc.rights Attribution-NonCommercial 4.0 International
dc.rights http://creativecommons.org/licenses/by-nc/4.0/
dc.subject Engines
dc.subject Torque
dc.subject Fuels
dc.subject Biological system modeling
dc.subject Propulsion
dc.subject Mechanical power transmission
dc.subject Batteries
dc.title Modelling and control of a hybrid electric propulsion system for unmanned aerial vehicles
dc.type Conference paper


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