基于演化神经网络的飞机自动着陆自适应逆设计

Design of Automatic Landing Control System Using Adaptive Inverse Based Neural Networks

应用基于演化神经网络的自适应逆方法对飞机纵向自动着陆控制系统进行了设计与研究。首先,提出了逆控制器的结构,并将演化神经网络用于自适应逆控制的学习过程。然后用神经网络自适应逆控制方法对飞机自动着陆系统进行设计,最后,对所设计的控制系统做了数字仿真研究。结果表明,所设计的自动着陆控制系统具有良好的可行性和鲁棒性。

Such adaptive inverse as all intelligence control is applied in the control of complex system. This paper gives a construction of adaptive inverse control and adapts evolutionary neural networks to train the procedure. Then, the landing system is designed in the platform of simulink. At last,,the simulation under the wind disturb is given. All the results show that the system is effective and robust.