EconPapers    
Economics at your fingertips  
 

Application of Noise Estimator with Limited Memory Index on Flexure Compensation of Rapid Transfer Alignment

Wei-dong Zhou and Yu-ren Ji ()
Additional contact information
Wei-dong Zhou: Harbin Engineering University
Yu-ren Ji: Harbin Engineering University

Chapter Chapter 153 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1447-1456 from Springer

Abstract: Abstract In order to solve the flexure compensation problem in rapid transfer alignment, the error equations are simplified by noise compensation method firstly. Due to the time variant characteristics of flexure process in time domain, which leads to the fixed noise statistical characteristics cannot follow the variation of actual environment, the noise estimator with limited memory index is proposed. By limiting the memory length of obtained data, too old historical data is giving up and the accuracy of online noise estimator is improved. The final simulation verifies that the method proposed have higher accuracy and faster convergence speed than conventional methods.

Keywords: Flexural deformation; Limited memory; Noise compensation; Transfer alignment (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_153

Ordering information: This item can be ordered from
http://www.springer.com/9783642383915

DOI: 10.1007/978-3-642-38391-5_153

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-642-38391-5_153