Simulation on dual-fuzzy energy management strategy of UAV extended range electric propulsion system

In order to improve the energy utilization efficiency of the extended-range electric propulsion system applied to unmanned aerial vehicle （UAV）s，an energy management strategy based on double-layer fuzzy control was adopted and genetic algorithms were used to optimize the control parameters，and different disturbances were set in the simulated flight conditions according to the flight dynamics theory to test the anti-flight disturbance effect of the energy management strategy.The simulation results showed that compared with the energy management strategy based on multi-point logic gate rules and PID （proportion integral differential），the dual-fuzzy energy management strategy can reduce the average fuel consumption rate of the engine by 3.4% and the overall fuel consumption by 3.8%；the battery usage was reduced by 10.6%，the average engine speed error was reduced by 77.0%，and the maximum speed fluctuations in the face of sudden wind disturbance，compound disturbance and continuous turbulence disturbance were reduced by 71.4%，72.6% and 46.7%，respectively.Compared with the control parameters before optimization，the dual-fuzzy energy management strategy optimized by genetic algorithm reduced the average engine speed error by 6.6%，and reduced the maximum speed fluctuations by 12.8%，8.3%，and 39.4%，respectively，in the face of the above-mentioned three kinds of disturbances.