神经网络在空空导弹自动驾驶仪中的应用

Application of neural network for the auto pilot of air-to-air missile

研究了神经网络模型预测控制在导弹自动驾驶仪中的应用。针对导弹飞行动态的不确定性和非线性,采用了近年发展起来的神经网络控制,在模型未知的情况下,有效地实现了导弹的飞行控制。并应用MATLAB进行论证,显示了神经网络控制方法在空空导弹应用上的广泛性。

Neural network model forecast control is employed to design missile autopilot in this paper. Missile dynamics is nonlinear and uncertain. The neural network, which developed rapidly in the recent years, controls the missile dynamics in the condition that the model is unknown or partially unknown. The universality of neural network is manifested in the application of air-to-air missile.