桨叶负扭度对直升机涡环状态影响分析

Analysis of Blade Negative-Twist Effect onHelicopter Vortex-Ring State

利用部分旋翼涡环状态试验数据 ,采用神经网络误差反向传播算法 (BP算法 ) ,研究了桨叶负扭度对直升机涡环状态特性的影响问题 ,分析了负扭度变化对旋翼扭矩、拉力平均值及脉动幅度的影响。模拟结果表明 ,使用该模型可准确预测桨叶负扭度对直升机涡环状态的影响 ,从而减少试验次数 。

According to the part test data of rotor vortex ring state, the effect of negative twist on vortex ring state is discussed using the back propagation method of neural network, and the effect of change of negative twist on the rotor torque, thrust average value and fluctuating scope is analyzed. It is concluded according to the simulation result that the model can predict the effect of negative twist on vortex ring state correctly, reduce test times and save the test cost.