神经网络PID在空空导弹自动驾驶仪中的应用

The Application of Neural Network PID for the Autopilot of Air-to-Air Missile

采用改进型BP神经网络与传统PID相结合作为控制器,应用于空空导弹自动驾驶仪的设计中。BP神经网络算法的运用,使得所设计的自动驾驶仪能够针对非线性、时变的气动特性自适应地调整控制参数,利用MATLAB软件对系统进行仿真,给出了相应的仿真结果。实现对PID控制器参数的寻优整定,简化了设计过程。

A combination of an improved BP neural network and a general PID controller is used in autopilot of air-to-air missile.This algorithm makes the designed autopilot be able to adaptive adjust control parameters with respect to the time varying and nonlinear aerodynamic characteristics,realizes the setting of PIDcontroller parameter and makes the design processing simplely.Finally,the paper emulates the system by using MATLAB and gives the simulation results of the autopilot.