Real-time optimal state estimation of multi-DOF industrial systems using FIR filtering
Date
2017
Authors
Zhao, S.
Shmaliy, Y.
Ahn, C.
Shi, P.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Transactions on Industrial Informatics, 2017; 13(3):967-975
Statement of Responsibility
Shunyi Zhao, Yuriy S. Shmaliy, Choon Ki Ahn, and Peng Shi
Conference Name
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 aboutmulti-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 andmodel 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.
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Dissertation Note
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Description
Date of publication August 17, 2016
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© 2016 IEEE