导航

Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (17): 530032-530032.doi: 10.7527/S1000-6893.2023.30032

• Articles • Previous Articles    

Stability and power control method of hybrid power system for fuel cell UAVs

Shuhao DENG1(), Tao LEI1,2, Xianqiu JIN1, Junxiang CHEN3, Daiwen HUANG3, Xiaobin ZHANG1,2   

  1. 1.School of Automation,Northwestern Polytechnical University,Xi’an  710129,China
    2.Key Laboratory of Aircraft Electric Propulsion Technology,Ministry of Industry and Information Technology,Xi’an  710072,China
    3.AVIC Chengdu Aircraft Design and Research Institute,Chengdu  610091,China
  • Received:2023-12-27 Revised:2024-02-21 Accepted:2024-03-25 Online:2024-04-19 Published:2024-04-19
  • Contact: Shuhao DENG E-mail:shuhao_d@163.com
  • Supported by:
    National Natural Science Foundation of China(5877178);Aeronautical Science Foundation of China(2022Z024053)

Abstract:

This paper analyzes the stability issues of the fuel cell/lithium battery hybrid electric propulsion energy system for UAVs. Based on the UAV’s DC microgrid architecture, the stable boundary conditions with constant power load for the electric propulsion system are determined, and power optimization control is carried out for the DC microgrid system. According to the typical flight mission profiles of fuel cell UAVs, a fuel cell/lithium battery parallel hybrid power source is used as the power supply unit for the electric propulsion system. Based on the negative impedance characteristics of the onboard electric propulsion constant power load, small-signal and large-signal stability analyses of the DC microgrid system are conducted. The stable boundary conditions of the power supply system are obtained using the hybrid potential function method, and the system’s large signal stability domain is improved by adding supercapacitor. To optimize the power response of the control system, an energy management strategy based on the rule-based state machine is designed, and the constraint relationship between the stable boundary conditions and power optimization control is derived. A digital simulation model is built, and a semi-physical real-time simulation verification platform is designed. Simulation results show that the proposed control method of adding virtual resistance and supercapacitor has good system stability and power optimization control effects.

Key words: fuel cell UAV, constant power load, energy management strategy, stability analysis, power control

CLC Number: