Smooth Variable Structure Filter for pneumatic system identification

Mohammad Al-Shabi, Ashraf Saleem, Tarek A. Tutunji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The Smooth Variable Structure Filter (SVSF) is a newly-developed predictor-corrector filter for state and parameter estimation [1]. The SVSF is based on the Sliding Mode Control concept. It defines a hyperplane in terms of the state trajectory and then applies a discontinuous corrective action that forces the estimate to go back and forth across that hyperplane. The SVSF is suitable for fault detection and identification applications because of its stability and robustness in modeling uncertainties. The SVSF has two indicators of performance; the a posteriori output error and the chattering. The latter as a signal-contains the system's information which is proven and explored in this paper. The SVSF is applied for the identification of pneumatic systems in order to verify the proposed method. Furthermore, the proposed method is compared with neural network and the results reveal that SVSF is better in identifying nonlinear systems.

Original languageEnglish
Title of host publication2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011
DOIs
Publication statusPublished - 2011
Event2011 1st IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011 - Amman, Jordan
Duration: Dec 6 2011Dec 8 2011

Other

Other2011 1st IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011
CountryJordan
CityAmman
Period12/6/1112/8/11

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Keywords

  • Pneumatic Systems
  • Smooth Variable Structure Filter
  • System Identification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Al-Shabi, M., Saleem, A., & Tutunji, T. A. (2011). Smooth Variable Structure Filter for pneumatic system identification. In 2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011 [6132500] https://doi.org/10.1109/AEECT.2011.6132500