LAPSE:2023.29291
Published Article
LAPSE:2023.29291
GLSDC Based Parameter Estimation Algorithm for a PMSM Model
April 13, 2023
In this study, a GLSDC (Gaussian Least Squares Differential Correction) based parameter estimation algorithm is used to identify a PMSM (Permanent Magnet Synchronous Motor) model. In this method, a nonlinear model is assumed to be the correct representation of the underlying state dynamics and the output signals are assumed to be measured in a noisy environment. Using noisy input and output signals, parameters that constitute the coefficients of the nonlinear state and input signal terms are to be estimated using the state transition matrix which is computed by the numerical means that are detailed. Since a GLSDC algorithm requires correct initial state value, this term is also estimated in addition to the unknown coefficients whose bounds are assumed to be known, which is mostly the case in the industrial applications. The batch input and output signals are used to iteratively estimate the parameter set before and after the convergence, and to recover the filtered state trajectories. A couple of different scenarios are tested by means of numerical simulations and the results are addressed. Different methods are discussed to compute better initial estimate values, to shorten the convergence time.
Record ID
Keywords
GLSDC, parameter estimation, PMSM
Subject
Suggested Citation
Sel A, Sel B, Kasnakoglu C. GLSDC Based Parameter Estimation Algorithm for a PMSM Model. (2023). LAPSE:2023.29291
Author Affiliations
Sel A: Department of Electrical-Electronics Engineering, TOBB University of Economics and Technology, 06510 Ankara, Turkey [ORCID]
Sel B: Department of Electrical and Electronics Engineering, Bilkent University, 06800 Ankara, Turkey
Kasnakoglu C: Department of Electrical-Electronics Engineering, TOBB University of Economics and Technology, 06510 Ankara, Turkey
Sel B: Department of Electrical and Electronics Engineering, Bilkent University, 06800 Ankara, Turkey
Kasnakoglu C: Department of Electrical-Electronics Engineering, TOBB University of Economics and Technology, 06510 Ankara, Turkey
Journal Name
Energies
Volume
14
Issue
3
First Page
611
Year
2021
Publication Date
2021-01-26
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14030611, Publication Type: Journal Article
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LAPSE:2023.29291
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doi:10.3390/en14030611
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Apr 13, 2023
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