摘要
采用神经网络误差反向传播算法,以旋翼涡环状态试验数据为基础,研究了桨叶负扭度对直升机涡环状态特性的影响,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。计算结果表明,神经网络模型能够准确预测桨叶负扭度对直升机涡环状态的影响。
On the basis of rotor vortex-ring test data, the network back propagation method is used to research the effect of blade negative-twist on vortex-ring state, and the effect of change of negative-twist on rotor torque, thrust average value and fluctuating scope are analyzed. The result shows that the model of neural network can predict the effect of blade negative-twist on helicopter vortex-ring state.
出处
《流体力学实验与测量》
EI
CSCD
北大核心
2004年第1期20-23,共4页
Experiments and Measurements in Fluid Mechanics
