A robust and fault-Tolerant filter and its application in MEMS-INS/GPS

Jing Shi, Jianhua Yang, Huiying Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Txfonts In micro-electro-mechanical system based inertial navigation system (MEMS-INS)/global positioning system (GPS) integrated navigation systems, there exist unknown disturbances. This paper deals with the problem of adaptive robust estimation (ARE) to obtain high estimation accuracy. A filter gain matrix is designed to obtain the adaptive robust algorithm, in which the H norm of the transfer function from noise inputs to estimation error outputs is limited within a certain range, and further more the estimation error is minimized by calculating the adaptive weight matrix. Therefore, the algorithm can guarantee small estimation errors in the presence of disturbances. The proposed method is evaluated in the integrated navigation system, and the simulation results show that it is effective in position and velocity estimation.

Original languageEnglish
Title of host publicationICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages247-251
Number of pages5
ISBN (Electronic)9781479980697
DOIs
StatePublished - 1 Jun 2015
Event2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 - Taipei, Taiwan, Province of China
Duration: 9 Apr 201511 Apr 2015

Publication series

NameICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

Conference

Conference2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015
Country/TerritoryTaiwan, Province of China
CityTaipei
Period9/04/1511/04/15

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