针对BTT导弹的飞行控制问题,提出一种基于近似动态逆及神经网络理论的非线性自动驾驶仪设计方法。给出了神经网络自适应动态逆控制规律,建立了BTT导弹的数学模型,设计了导弹的神经网络自适应动态逆控制系统结构,并进行了控制效果的数值仿真分析。仿真结果说明了神经网络自适应非线性自动驾驶仪在导弹飞行控制中具有较高的控制精度和很好的鲁棒稳定性。 Aiming at the flight control of BTT, a nonlinear autopilot design method based on approximate dynamic inverse and neural network theory is proposed. The adaptive inverse neural network control law is given, the mathematical model of BTT missile is established, and the structure of the neural network adaptive dynamic inverse control system of the missile is designed. The numerical simulation of the control effect is carried out. Simulation results show that neural network adaptive nonlinear autopilot has high control precision and good robust stability in missile flight control.