摘要
提出一种利用神经网络的自学习特性 ,对陀螺稳定平台的速度环进行自适应控制的方法。给出了采用自适应神经网络控制方法和采用传统频域校正控制方法的对比实验结果。实验结果表明 ,此种算法在应用中是很有效的。
Based on the self-learning property of neural network, an adaptive control method for speed ring of a gyroscope-stabilized platform is put forward in the paper. An experimental results comparison between adaptive neural network control method and traditional frequency domain correction control method is given. The experimental results demonstrate that this algorithm is very effective in applications.
出处
《光电工程》
CAS
CSCD
北大核心
2001年第4期9-12,共4页
Opto-Electronic Engineering
