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大型天文光学望远镜超低速跟踪控制
周旺平; 徐欣圻
2007-11
Source Publication大型天文光学望远镜超低速跟踪控制
Volume34Issue:11Pages:1-4
Abstract
为实现当代大型天文光学望远镜机架伺服系统的高精度控制,利用神经网络预测控制来克服系统中存在的非线性干扰,通过采集机架的输入输出信号训练神经网络来逼近非线性的系统动态,另外,为克服系统外部的风振等非线性干扰,引入了非线性阻尼项来提高伺服系统的跟踪精度。仿真结果表明了该方法的正确性且能获得较高的控制精度。
Keyword神经网络 非线性干扰 伺服系统 光学望远镜
Subject Area自动控制
Document Type期刊论文
Identifierhttp://ir.niaot.ac.cn/handle/114a32/461
Collection期刊论文
Recommended Citation
GB/T 7714
周旺平,徐欣圻. 大型天文光学望远镜超低速跟踪控制[J]. 大型天文光学望远镜超低速跟踪控制,2007,34(11):1-4.
APA 周旺平,&徐欣圻.(2007).大型天文光学望远镜超低速跟踪控制.大型天文光学望远镜超低速跟踪控制,34(11),1-4.
MLA 周旺平,et al."大型天文光学望远镜超低速跟踪控制".大型天文光学望远镜超低速跟踪控制 34.11(2007):1-4.
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