Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle

For a longer endurance of vertical and level cruise flight, an electro-gasoline hybrid power system is introduced on a compound-wing unmanned aerial vehicle (UAV). After discharging during vertical flight, the battery pack is charged by a piston engine-driven generator, which simultaneously powers t...

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Main Authors: Siqi An, Yuantao Gan, Xu Peng, Songyi Dian
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/18/1/30
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author Siqi An
Yuantao Gan
Xu Peng
Songyi Dian
author_facet Siqi An
Yuantao Gan
Xu Peng
Songyi Dian
author_sort Siqi An
collection DOAJ
description For a longer endurance of vertical and level cruise flight, an electro-gasoline hybrid power system is introduced on a compound-wing unmanned aerial vehicle (UAV). After discharging during vertical flight, the battery pack is charged by a piston engine-driven generator, which simultaneously powers the UAV for level cruise flight. A charging model is established based on the configuration of the hybrid power system. Considering fuel consumption and battery attenuation within the typical flight profile of a compound-wing UAV, an optimized charging plan is developed using dynamic programming to determine the trajectory of the generated power sequence. To address deviations between ideal and practical flight conditions in terms of charging performance, a feedforward compensation is introduced to improve optimal tracking control within the dynamic programming framework. Simulations validate the effectiveness of the optimized charging plan, while testbench experiments confirm improvements achieved through compensation enhancement. The results demonstrate practicality with minimal overall cost compared to other conventional control plans.
format Article
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institution Kabale University
issn 1996-1073
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj-art-4796afbcee1140e2a7c31c1fb6262cf12025-01-10T13:16:52ZengMDPI AGEnergies1996-10732024-12-011813010.3390/en18010030Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial VehicleSiqi An0Yuantao Gan1Xu Peng2Songyi Dian3College of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, ChinaInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaFor a longer endurance of vertical and level cruise flight, an electro-gasoline hybrid power system is introduced on a compound-wing unmanned aerial vehicle (UAV). After discharging during vertical flight, the battery pack is charged by a piston engine-driven generator, which simultaneously powers the UAV for level cruise flight. A charging model is established based on the configuration of the hybrid power system. Considering fuel consumption and battery attenuation within the typical flight profile of a compound-wing UAV, an optimized charging plan is developed using dynamic programming to determine the trajectory of the generated power sequence. To address deviations between ideal and practical flight conditions in terms of charging performance, a feedforward compensation is introduced to improve optimal tracking control within the dynamic programming framework. Simulations validate the effectiveness of the optimized charging plan, while testbench experiments confirm improvements achieved through compensation enhancement. The results demonstrate practicality with minimal overall cost compared to other conventional control plans.https://www.mdpi.com/1996-1073/18/1/30hybrid powercompound-wing VTOLpower managementdynamic programmingmulti-objective optimization
spellingShingle Siqi An
Yuantao Gan
Xu Peng
Songyi Dian
Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle
Energies
hybrid power
compound-wing VTOL
power management
dynamic programming
multi-objective optimization
title Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle
title_full Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle
title_fullStr Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle
title_full_unstemmed Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle
title_short Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle
title_sort charging optimization with an improved dynamic programming for electro gasoline hybrid powered compound wing unmanned aerial vehicle
topic hybrid power
compound-wing VTOL
power management
dynamic programming
multi-objective optimization
url https://www.mdpi.com/1996-1073/18/1/30
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AT yuantaogan chargingoptimizationwithanimproveddynamicprogrammingforelectrogasolinehybridpoweredcompoundwingunmannedaerialvehicle
AT xupeng chargingoptimizationwithanimproveddynamicprogrammingforelectrogasolinehybridpoweredcompoundwingunmannedaerialvehicle
AT songyidian chargingoptimizationwithanimproveddynamicprogrammingforelectrogasolinehybridpoweredcompoundwingunmannedaerialvehicle