基于神经网络的飞机轮胎与跑道间结合系数的研究

Research On Tire-Runway Adhesion Coefficient Based on Neural Network

以实验数据为基础,利用神经网络的BP算法来拟合飞机轮胎与跑道之间的结合系数与滑移率的关系曲线,通过在MATLAB中编程来实现拟合,同时生成一个可以应用到SIMULINK中的模块,为系统建模提供了方便。实验结果表明BP网络能比较好地拟合μ-σ曲线,控制效果较好。

Nonlinear characteristic of tire-runway adhesion coefficient and slip ratio is resolved by BP neural network, the datum measured by experiment are drew up. This process is achieved by programming in MATLAB. At the same time, the program can create some blocks which can simulate in SIMULINK. These blocks provide conveniency for building models. The conclusion is that relation of coefficient- slip is sought finely, and effect of controlling is preferable.