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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2019, Vol. 40 ›› Issue (7): 222793-222793.doi: 10.7527/S1000-6893.2019.22793

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Coupling effect of energy management and flight state for fuel cell powered UAVs

ZHANG Xiaohui, LIU Li, DAI Yueling   

  1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
  • Received:2018-11-19 Revised:2018-12-24 Online:2019-07-15 Published:2019-03-20

Abstract: The coupling effect of energy management and flight state control of the fuel cell and battery of UAVs are investigated. Considering the top-level mission planning and the underlying energy system management, the propulsion system model is used as the coupling point to join the flight motion equation and the energy system state equation to establish the coupled model of motion state and energy state. For the climb process with high degree of mixing fuel cell and battery, the angle of attack, rotational speed, and fuel cell power are used as the control variables to study the influence of flight target altitude on the optimal control problem for the integrated path planning and energy management. The established control strategy is compared with a fuzzy control energy management strategy that only considering the state of the energy system. Based on the typical task characteristics of high-power short-term climb and low-power long-time cruise, the optimal hybrid problem of fuel cell/battery is established. The optimal hybrid of fuel cell and battery with the optimal power distribution and flight control are derived. The influence of different cruise target altitudes on optimal hybrid fuel cell/battery and flight state is analyzed. The results show that the proposed coupling optimal control strategy considering both energy system and path planning can provide a good flight state control while giving optimal power flow distribution. Considering the characteristics of long-term low-power cruise and short-time high-power climb, the optimization results of hybrid fuel cell/battery and flight state control present optimal flight state while reducing fuel consumption throughout the mission.

Key words: fuel cell, hybrid power, optimal control, energy management, UAVs

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