摘要
振动对火炮的射击精度有较大的影响。建立了一种基于神经网络的火炮减振系统非线性动态模型,用位移和速度作为模型的输入,以控制量和其变化率作为输出,并给出了网络的学习算法。仿真显示,该控制器具有良好的稳定性,结构受控后振动衰减迅速,且控制器结构简单。
The precision of the artillery is amount affected by the vibration. A non- line dynamic model of the attenuation of the artillery＇s vibration based on the neural networks is presented in this article. In this model, the displacement and speed are regarded as input, and the control moment and it＇s change -rate output. The simulation indicates it has the better capacity and stability, and is effective.
出处
《噪声与振动控制》
CSCD
北大核心
2006年第6期31-32,共2页
Noise and Vibration Control
关键词
振动与波
神经网络
火炮
vibration and wave
neural networks
artillery
