RBF网络在确定航空发动机给定转速中的应用

针对实验室不像飞机上可以通过复杂的机械传动装置确定发动机转速控制系统的给定转速，在研究分析了某涡扇发动机给定转速影响因素的基础上，提出了一种确定该型发动机给定转速的径向基函数（RBF）神经网络算法，并以试验数据为训练样本，建立了确定发动机给定转速的RBF 神经网络模型。通过试验验证，结果表明该方法具有学习速度快、计算精度高等特点，将其应用于确定航空发动机的给定转速是行之有效的。
关键词：RBF 神经网络，航空发动机，给定转速，燃油泵调节器
Abstract: Because aero-engine theoretic speed can be known not through setting up mechanical gearing, after analyzing the factors of affecting some turbofan engine theoretic speed , we present a RBF network arithmetic that can makes certain of aero-engine theoretic speed. We set up the RBF network model that can make certain of aero-engine theoretic speed by using experimental data as the network’s learning stylebook. Through experiment,
the result shows that the method has the advantage of faster learning rate, higher calculating precision, that it can be used to make certain of aero-engine theoretic speed.
Keywords: RBF NN, aero-engine, theoretic speed, oil-pump adjustor.