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针对某型飞机的高度保持工作方式,依据BP神经网络良好的函数逼近功能,提出了一种基于神经网络的指令驾驶系统控制律设计方法。对控制律采用神经网络建模,并借助于自动驾驶仪系统在各种工作状态下的数据对神经网络进行训练,在不同飞行状态点建立了一个指令驾驶系统控制律的神经网络模型。人机闭环系统仿真结果表明,基于神经网络的指令驾驶系统控制律可以实现预定的高度保持飞行控制任务。
According to the function of keeping a certain altitude of aircraft, based on the good function approximation function of BP neural network, a control law design method of command and control system based on neural network is proposed. The control law is modeled by neural network, and the neural network is trained by means of autopilot system data under various working conditions. A neural network model of command and control law is established at different flight states. Simulation results of the human-machine closed-loop system show that the command-driven control law based on neural network can achieve the flight control mission at a predetermined altitude.