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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MDPI AG
2024-12-01
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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 |
id | doaj-art-4796afbcee1140e2a7c31c1fb6262cf1 |
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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