摘要
针对飞机纵向运动方程复杂,现有的气动参数获得方法实现困难,不便于分析与控制飞机的运动,文中利用BP神经网络进行参数估算,建立了飞机短周期纵向运动参数估算的BP神经网络模型.研究了不同神经网络结构、不同的激励函数对飞机纵向参数估算BP网络模型的影响作用,进行了数字仿真,对误差进行原则性分析并提出改进措施.仿真结果表明,这种方法能较好的估计纵向运动方程中的未知参数.
Because of the difficulty of the equation of aircraft lengthways movement and parameter calculation,the BP net model was made for estimating of parameter of aircraft on short period lengthways movement according to the BP net theory.The effect on Bp net model,which was produced by the structure of BP net and simulating function,was studied and tested by simulation.The error was analyzed fundamentally and some measure was offered to improve the model.The result of the simulation showed this method was feasible.
出处
《海军航空工程学院学报》
2007年第6期615-618,640,共5页
Journal of Naval Aeronautical and Astronautical University
关键词
神经网络
飞机参数
纵向运动
仿真
neural network
aircraft parameter
lengthways movement
simulation
