The improvement of the active support control system force transducer performance, based on Kalman filtering

被引：0

作者：

Ma, Yongjian ^{[1
]}

Li, Xiaojin ^{[1
]}

Zhao, Hongshen ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610200, Sichuan, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015) | 2015年 / 15卷

关键词：

Kalman filtering; active support control; noise processing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the active support control system, the sampling accuracy of force sensor directly affect the force control precision of the system, the surface of the primary mirror, and then affect the imaging quality of the optical system. Based on the Kalman filtering, this document introduces the force sensor signal filtering model of the active support system, verifies the validity of Kalman filtering to filtering the random noise signal via the Kalman filtering processing and analysis of the sampling of the active support system, realizes the high accuracy force of the system, which better the shape of the primary mirror.

引用

页码：999 / 1004

页数：6