南京航空航天大学学报2023，Vol.55Issue(6)：1004-1015,12.DOI:10.16356/j.1005-2615.2023.06.007
多旋翼混合动力无人机自适应能量管理策略仿真
Simulation of Adaptive Energy Management Strategy for Multi-rotor Hybrid UAVs
摘要
Abstract
In order to improve the operating stability,output power and energy utilization of multi-rotor hybrid drones,GT-Power and Simulink are used to jointly build models,and rules-based consumption management strategy and equivalent consumption minimization strategy(ECMS)are compared.Adaptive-ECMS(A-ECMS)based on back propagation(BP)neural networks optimization is designed and developed.Simulation shows that in terms of operational stability of A-ECMS,the overall operating speed fluctuation rate is 7.74%,which is significantly lower than those of the rule-based strategy and ECMS.The speed fluctuation rate of A-ECMS under compound disturbance and random turbulence is 8.32%,7.18%,respectively.Compared with rule-based strategy and ECMS,it operates more stably under emergency conditions.A-ECMS can effectively improve the power performance of the hybrid system,allowing the engine to operate at an economical operating condition of 10 kW,and the battery power can be adjusted in real time according to changes in the state of charge(SOC).The average fuel consumption rate of A-ECMS is 297.585 g/(kW⋅h),and the overall fuel consumption is 3 755.31 g,which is significantly lower than those of the rule-based strategy and ECMS.The engine operating points are concentrated in the fuel economy zone when running under various operating conditions.The proposed method can effectively improve system economy.关键词
多旋翼无人机/混合动力/BP神经网络/自适应最小消耗能量管理策略/能量管理Key words
multi-rotor unmanned aerial vehicle/hybrid power/back propagation(BP)neural network/adaptive equivalent consumption minimization strategy(A-ECMS)/energy management分类
航空航天引用本文复制引用
杨明堂,胡春明,徐胤泽,杜春媛..多旋翼混合动力无人机自适应能量管理策略仿真[J].南京航空航天大学学报,2023,55(6):1004-1015,12.基金项目
国家自然科学基金(51476112). （51476112）
