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A Novel Design of Iterative Learning Observer for Fault Estimation

[+] Author Affiliations
Chun-Mei Liu

Shenyang University of Technology, Liao Yang Campus, Liaoyang, Liaoning, China

Han-Long Yang

Eaton Corporation, Southfield, MI

Wen Chen

Wayne State University, Detroit, MI

Paper No. DETC2011-47679, pp. 671-676; 6 pages
doi:10.1115/DETC2011-47679
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: 2011 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5480-8
  • Copyright © 2011 by ASME

abstract

This paper is to present a novel design of the Iterative Learning Observer (ILO) for the purpose of fault estimation. With the new design of ILO, initial oscillation of the fault estimate is dramatically reduced. The learning accuracy is accordingly improved. Convergence of the ILO to the system is proved and simulation study is conducted. It shows that accurate fault estimation can be performed by the new ILO.

Copyright © 2011 by ASME
Topics: Design

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