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【答案】应助回帖
★ ★ ★ ★ ★
感谢参与，应助指数 +1
dzl1986: 金币+5, ★★★★★最佳答案 2014-06-22 15:11:34
jssxh: 金币+3, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-06-22 19:36:27
oven1986: 金币-3, 不需奖励金币。 2014-06-22 22:30:42
Accession number:
20142117744547
Title: Multiple fading factors strong tracking SCKF and its application in fault parameter estimation
Authors: Du, Zhan-Long1 Email author mysky110@tom.com; Li, Xiao-Min1 Email author lxmfy2000@263.net
Author affiliation: 1 Department of Unmanned Aerial Vehicle Engineering, Ordnance Engineering College, Shijiazhuang 050003, China
Corresponding author: Du, Z.-L. (mysky110@tom.com)
Source title: Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Abbreviated source title: Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron
Volume: 36
Issue: 4
Issue date: April 2014
Publication year: 2014
Pages: 643-649
Language: Chinese
ISSN: 1001506X
CODEN: XGYDEM
Document type: Journal article (JA)
Publisher: Chinese Institute of Electronics
Abstract: For unmeasured fault parameter estimation of nonlinear system, a state and parameter joint estimation algorithm based on multiple fading factors strong tracking square-root cubature Kalman filter (MSTSCKF) is presented. Under the basic theory framework of strong tracking filter, MSTSCKF introduces the multiple fading factors to adjust gain matrix in real time and avoids the problem that square-root cubature Kalman filter (SCKF) decreases in accuracy and even diverges when the changing function of fault parameters is unknown or fault parameters abruptly change. Meanwhile, MSTSCKF combines high nonlinear curve fitting and numerical stability of SCKF. The simulation results indicate that higher estimation accuracy is obtained compared with SCKF and strong tracking unscented Kalman filter (UKF).
Number of references: 18
Main heading: Parameter estimation
Controlled terms: Estimation - Kalman filters
Uncontrolled terms: Fault parameters - ITS applications - Joint estimation - Multiple fading factors - Square-root cubature kalman filters - Strong tracking - Strong tracking filter - Unscented Kalman Filter
Classification code: 731.1 Control Systems - 921 Mathematics
DOI: 10.3969/j.issn.1001-506X.2014.04.06
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc. |
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