一种混合神经网络飞行控制方法研究

讨论了一种基于神经网络控制的飞行控制方法。针对复杂非线性系统难以建立精确模型的特点，利用神经网络的任意非线性逼近能力进行控制器设计，首先应用神经网络在线辨识对象逆模型，进行控制系统反馈线性化；接着利用circle theorem（圆定理）设计线性PID鲁棒控制器，控制系统输出跟随系统输入，然后应用神经网路自适应逆方法设计混合控制器，最后以F-8飞机纵向飞行控制模态为研究对象进行仿真。仿真结果表明，该控制方法具有较强的自适应和抗干扰能力。

Research on Hybrid Neural Network Flight Control Method

An advanced flight control method is discussed.It is difficult to establish accurate models for complex nonlinear systems, but neural network has arbitrary nonlinear approximation ability.Firstly,inverse model of the object is identified online through neural networks and the feedback linearization control system is reached.Then,circle theorem is used to design linear robust controller to control the state variables follow the input.A linear dynamic longitudinal model of a high-performance aircraft (F-8) is considered to demonstrate the effectiveness of the proposed control scheme. Simulation results show that the designed controllers are highly adaptive and have anti-interference ability.