Real-Time Optimal State Estimation of Multi-DOF Industrial Systems Using FIR Filtering

Shunyi Zhao, Yuriy S. Shmaliy, Choon Ki Ahn, Peng Shi

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Industrial processes are often organized using mechanical systems with multiple degrees-of-freedom (DOF). For real-time operation of such systems in noise environments, fast, optimal, and robust estimators are required. In this paper, information gathering about multi-DOF system states is provided using the optimal finite impulse response (OFIR) filter. To use this filter in real time, a fast iterative algorithm is developed with a pseudocode available for immediate use. Although the iterative algorithm utilizes Kalman recursions, it is more robust against uncertainties and model errors owing to the transversal structure. We use this algorithm to estimate state in the 1-DOF torsion system and the 3-DOF helicopter system.

Original languageEnglish
Article number7546834
Pages (from-to)967-975
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Volume13
Issue number3
DOIs
Publication statusPublished - 2017 Jun 1

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State estimation
FIR filters
Helicopters
Torsional stress

Keywords

  • Automation process
  • finite impulse response (FIR) filter
  • iterative algorithm
  • Kalman filter (KF)
  • state estimation
  • time-variant system

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Real-Time Optimal State Estimation of Multi-DOF Industrial Systems Using FIR Filtering. / Zhao, Shunyi; Shmaliy, Yuriy S.; Ahn, Choon Ki; Shi, Peng.

In: IEEE Transactions on Industrial Informatics, Vol. 13, No. 3, 7546834, 01.06.2017, p. 967-975.

Research output: Contribution to journalArticle

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