摘要
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。
A scheme based on neural network is proposed to design control law of instruction steering system. According to the excellent function approaching ability of BP network, the control law of altitude holding working mode of certain type airplane is modeled using a neural network. Through training the model using data of. autopilot in working mode of altitude holding, the BP neural network model is developed at different flight states. The simulation results of pilot-aircraft closed loop system show that the control law of instruction steering system based on neural network can realize the scheduled flight control of altitude holding.
出处
《电机与控制学报》
EI
CSCD
北大核心
2006年第1期74-77,共4页
Electric Machines and Control
关键词
指令驾驶
人机闭环系统
BP神经网络
instruction steering
pilot-aircraft closed loop system
BP neural network
