面向货运任务的混电垂直起降无人机能量管理策略和任务路径综合优化

doi:10.7527/S1000-6893.2023.29606

Abstract

Abstract:

Aiming at the demand of reducing energy consumption and cost for hybrid-electric Vertical Take-Off and Landing （VTOL） UAV cargo transportation missions， an integrated optimization method for energy management strategy and mission path is proposed. A hybrid-electric VTOL UAV energy consumption model is constructed by comprehensively considering the power demand in vertical flight， forward flight and transition modes， battery charging and discharging characteristics， and engine fuel consumption characteristics. An energy management strategy of hybrid-electric VTOL UAV based on dynamic programming is proposed， and an integrated optimization model of energy management strategy and cargo transportation mission path， as well as a secondary utility evaluation system based on the shortest path solver and dynamic programming solver are constructed. With this method， the overall operation path and the energy management scheme of each sortie are optimized for two cases. The results show that the proposed method can comprehensively consider the effects of hybrid-electric system management strategy and operation path on energy consumption compared with the shortest path optimization， so that a reasonable operation path and corresponding energy management scheme can be planned to minimize the mission cost while satisfying multiple constraints.

Key words: Vertical Take-Off and Landing (VTOL), hybrid propulsion, energy management, path planning, multidisciplinary optimization

CLC Number:

V221

Cheng HE, Yuqi TONG, Xinglu XIA, Gang CHEN. Integrated optimization of energy management strategy and mission path for hybrid-electric VTOL UAVs in cargo transportation[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(14): 229606-229606.

Figures/Tables 14

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References 25

1	CHEN G， MA D L， JIA Y H， et al. Comprehensive sizing and optimization method for series-hybrid unmanned convertiplane［J］. Chinese Journal of Aeronautics， 2021， 34（4）： 387-402.
2	WROBLEWSKI G E， ANSELL P J. Mission analysis and emissions for conventional and hybrid-electric commercial transport aircraft［J］. Journal of Aircraft， 2019， 56（3）： 1200-1213.
3	XIE Y， SAVVARISAL A， TSOURDOS A， et al. Review of hybrid electric powered aircraft， its conceptual design and energy management methodologies［J］. Chinese Journal of Aeronautics， 2021， 34（4）： 432-450.
4	RIBOLDI C E D. Energy-optimal off-design power management for hybrid-electric aircraft［J］. Aerospace Science and Technology， 2019， 95： 105507.
5	HARMON F G， FRANK A A， CHATTOT J J. Conceptual design and simulation of a small hybrid-electric unmanned aerial vehicle［J］. Journal of Aircraft， 2006， 43（5）： 1490-1498.
6	DONATEO T， SPEDICATO L， PLACENTINO D PIO. Design and performance evaluation of a hybrid electric power system for multicopters［J］. Energy Procedia， 2017， 126： 1035-1042.
7	陈刚，贾玉红，马东立，等. 垂直起降固定翼无人机串联混电系统优化设计［J］. 北京航空航天大学学报， 2021， 47（4）： 742-753.
	CHEN G， JIA Y H， MA D L， et al. Optimal design of series-hybrid electric system for unmanned convertiplane［J］. Journal of Beijing University of Aeronautics and Astronautics， 2021， 47（4）： 742-753 （in Chinese）.
8	HE C， JIA Y H， MA D L. Optimization and analysis of hybrid electric system for distributed propulsion tilt-wing UAV［J］. IEEE Access， 2020， 8： 224654-224667.
9	FRIEDRICH C， ROBERTSON P A. Design of hybrid-electric propulsion systems for light aircraft： AIAA-2014-3008［R］. Reston： AIAA， 2014.
10	YANG D C， WU Q Q， ZENG Y， et al. Energy tradeoff in ground-to-UAV communication via trajectory design［J］. IEEE Transactions on Vehicular Technology， 2018， 67（7）： 6721-6726.
11	GHORBEL M BEN， RODRÍGUEZ-DUARTE D， GHAZZAI H， et al. Joint position and travel path optimization for energy efficient wireless data gathering using unmanned aerial vehicles［J］. IEEE Transactions on Vehicular Technology， 2019， 68（3）： 2165-2175.
12	ZENG Y， XU J， ZHANG R. Energy minimization for wireless communication with rotary-wing UAV［J］. IEEE Transactions on Wireless Communications， 2019， 18（4）： 2329-2345.
13	SCHACHT-RODRÍGUEZ R， PONSART J C， GARCÍA-BELTRÁN C D， et al. Path planning generation algorithm for a class of UAV multirotor based on state of health of lithium polymer battery［J］. Journal of Intelligent & Robotic Systems， 2018， 91（1）： 115-131.
14	MONWAR M， SEMIARI O， SAAD W. Optimized path planning for inspection by unmanned aerial vehicles swarm with energy constraints［C］∥2018 IEEE Global Communications Conference. Piscataway： IEEE Press， 2018： 1-6.
15	宗建安，朱炳杰，侯中喜，等. 固旋翼垂直起降混电飞行器推进系统设计［J］. 航空学报， 2022， 43（5）： 225395.
	ZONG J A， ZHU B J， HOU Z X， et al. Design of hybrid-electric fixed-wing VTOL aircraft propulsion system［J］. Acta Aeronautica et Astronautica Sinica， 2022， 43（5）： 225395 （in Chinese）.
16	RAYMER D. Aircraft design： A conceptual approach ［M］. 5th ed. Washington， D.C.： AIAA， 2012.
17	KAMAL A M， RAMIREZ-SERRANO A. Development of a preliminary design methodology for transitional UAV： AIAA-2018-1006［R］. Reston： AIAA， 2018.
18	TYAN M， VAN NGUYEN N， KIM S， et al. Comprehensive preliminary sizing/resizing method for a fixed wing-VTOL electric UAV［J］. Aerospace Science and Technology， 2017， 71： 30-41.
19	OMAR N， VAN DEN BOSSCHE P， COOSEMANS T， et al. Peukert revisited—critical appraisal and need for modification for lithium-ion batteries［J］. Energies， 2013， 6（11）： 5625-5641.
20	GUZZELLA L， SCIARRETTA A. Vehicle propulsion systems： Introduction to modeling and optimization［M］. 3rd ed. Berlin： Springer， 2013.
21	LANTOINE G， RUSSELL R P. A hybrid differential dynamic programming algorithm for constrained optimal control problems. Part 2： Application［J］. Journal of Optimization Theory and Applications， 2012， 154（2）： 418-442.
22	胡春明，闫丁洋，刘娜，等. 油电混合动力无人机能量管理策略的对比仿真研究［J］. 内燃机工程， 2022， 43（4）： 74-83.
	HU C M， YAN D Y， LIU N， et al. Comparison and simulation research on energy management strategies of oil-electric hybrid unmanned aerial vehicle［J］. Chinese Internal Combustion Engine Engineering， 2022， 43（4）： 74-83 （in Chinese）.
23	鲍冠南，陆超，袁志昌，等. 基于动态规划的电池储能系统削峰填谷实时优化［J］. 电力系统自动化， 2012， 36（12）： 11-16.
	BAO G N， LU C， YUAN Z C， et al. Load shift real-time optimization strategy of battery energy storage system based on dynamic programming［J］. Automation of Electric Power Systems， 2012， 36（12）： 11-16 （in Chinese）.
24	宋珂，张涛，牛文旭，等. 燃料电池汽车能量管理动态规划算法的误差累积问题及解决方法［J］. 汽车工程， 2017， 39（3）： 249-255.
	SONG K， ZHANG T， NIU W X， et al. Error accumulation problem and solution of dynamic programming algorithm for energy management of fuel cell electric vehicles［J］. Automotive Engineering， 2017， 39（3）： 249-255 （in Chinese）.
25	王志福，徐崧，罗崴. 基于动态规划的燃料电池车能量管理策略研究［J］. 太阳能学报， 2023， 44（10）： 550-556.
	WANG Z F， XU S， LUO W. Research on energy management strategy of fuel cell vehicle based on dynamic programming［J］. Acta Energiae Solaris Sinica， 2023， 44（10）： 550-556 （in Chinese）.

参数	数值
无人机总重/kg	200
最大载货量/kg	45
燃油重量/kg	5
机翼面积/m²	4.4
发动机最大功率/kW	14.7
发电机效率	0.9
能量管理系统效率	0.9
零升阻力系数	0.03
螺旋桨效率	0.85
垂直模式阻力系数	3.0
发电机最大功率/kW	13.2
电池组额定电压/V	275
电池组拼装形式	75并×8串
电池组重量/kg	26.24
地面充电单价/（元·kWh^-1）	0.471
电动机效率	0.9
电池组充放电功率/kW	68.2
单位燃油价格/（元·kg^-1）	7.834 5
奥斯瓦尔德效率因子	0.68
展弦比	18

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Integrated optimization of energy management strategy and mission path for hybrid-electric VTOL UAVs in cargo transportation

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