基于模糊逻辑的飞机电推进系统能量管理策略研究

Fuzzy logic-based energy management strategy for aircraft electric propulsion system

关键词:  电推进  能量管理策略  氢燃料电池  模糊逻辑  设计优化方法

Key words:  Electric propulsion  Energy management strategy  Hydrogen fuel cell  Fuzzy logic  Design optimization method

摘要:

为了提升飞机电推进动力系统的关键性能，需要设计和优化内部能量管理控制策略并实现功率合理分配。本文基于MATLAB/Simulink平台，建立了电推进动力系统仿真模型，并在能量管理系统模块中提出了基于模糊逻辑的能量管理策略（EMS），其用于动力系统内部的功率分配和控制。针对从滑跑直到巡航稳定点的飞行任务段，对电推进动力系统进行了时段级仿真实验，研究了氢气消耗量等量化指标的表现。在此基础之上，基于遗传算法的优化方法，对模糊控制系统的隶属度函数参数进行了寻优。计算结果表明，在本文基于模糊逻辑的EMS作用下电推进动力系统的氢气消耗量减少9.27%，而且氢燃料电池功率波动剧烈程度减少25.11%；优化后，主指标氢气消耗量进一步减少6.5%，同时次要指标的变化被约束。

Abstract:

To enhance the critical performance of aircraft electric propulsion power systems， internal energy management control strategies need to be designed and optimized and power distribution needs to be achieved. Based on MATLAB/Simulink platform， an electric propulsion power system simulation model was established. And the fuzzy logic-based energy management strategy （EMS） was designed in the energy management system module， which was used for power distribution and control within the power system. For the mission segment from taxiing until the cruise stabilization point， time-scale simulations of the electric propulsion power system were conducted to study the performance of quantitative targets such as hydrogen consumption. On this basis， a genetic algorithm-based optimization method was used to find the optimal parameters of membership functions of the fuzzy control system. The calculation results show that the hydrogen consumption of electric propulsion power system is reduced by 9.27% and the hydrogen fuel cell power fluctuation is reduced by 25.11% under the effect of EMS based on fuzzy logic in this paper. After optimization， the hydrogen consumption is further reduced by 6.5%， while the changes of the secondary indicators are under the constraints.