Observability analysis of deep-space autonomous navigation system

被引：0

作者：

Liu Yufei ^{[1
]}

Cui Pingyuan ^{[1
]}

机构：

[1] Harbin Inst Technol, Deep Space Explorat Res Ctr, Sci Pk, POB 3030, Harbin 150001, Peoples R China

来源：

2006 CHINESE CONTROL CONFERENCE, VOLS 1-5 | 2006年

关键词：

nonlinear system; local observability; analytical method; computational method; condition number;

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：

Checking the observability is important. It is a way to evaluate the feasibility of the system such that the measurement set can enable reliable state estimation([1]). In this paper, the concept of local observability is introduced for nonlinear systems. Here two kinds of method to check the observability of a deep-space autonomous navigation system are used: an analytical method and a computational method. The first method takes partial derivative of the measurement. The observability matrix is used to determining local observability in the other method. The condition number of the matrix is adopted as a scalar measure of degree of local observability. At last we give the observability results of an interplanetary spacecraft navigation system.

引用

页码：1463 / +

页数：2