摘要
为更好地设计微型直升机的控制系统,必须建立其动力学模型.以微型直升机偏航控制为例,由于微型直升机复杂的动力学特性以及直升机微型化后的特殊性,用传统建模方法很难建立出令人满意的模型.基于神经网络的预测功能,将实验系统获得的数据作为训练样本,可得到神经网络预测模型.该模型可根据当前的控制指令和偏航角度预测出下一时刻直升机的偏航角度,从而为设计直升机控制系统提供依据.
In order to design micro helicopter's control system, it is necessary to modeling its dynamics model. Because of the complexity and speciality of the micro helicopter's dynamics, the traditional modeling method can not result in a good model on, for example, the yaw control system. Based on the neural network prediction and using the data collected by the experiment system, the neural network model is obtained. It can predict the hili-copter's yaw angle according to current control and state data.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2002年第1期48-51,共4页
Pattern Recognition and Artificial Intelligence
基金
985资助项目(202012-013)
