Exponential modulation integral observer for online detection of the fundamental and harmonics in grid-connected power electronics equipment
File(s)Lam_Li_Chen_Parisini_Hui_TCST_Accepted_3_Oct_2021.pdf (3.37 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Harmonic current estimation is required in active power filters for compensation purposes. The most efficient way of calculating the total harmonic current up to the infinite order is to subtract the fundamental component from the distorted current. Direct determination of the fundamental component of a distorted current of mains frequency was realized recently with a third-order modulation integral observer. This article shows that using an exponential modulation function (Exp-MF) for the integral observer will: 1) significantly enhance the robustness of the observer against noise and 2) automatically remove the low-frequency envelope arising from the D/A and A/C sampling processes compared to previous polynomial modulation function. These new and advantageous features are supported with detailed analysis and experimental verification. The robust observer can be implemented in grid-connected power electronics circuits that require the instantaneous information of the fundamental and/or harmonic currents. Practical comparative tests with the adaptive notch filter and recursive discrete Fourier transform (DFT) methods in an active power filter have confirmed the good performance under both the steady and dynamic states of the proposed Exp-MF integral observer.
Date Issued
2022-09-01
Date Acceptance
2021-10-03
Citation
IEEE Transactions on Control Systems Technology, 2022, 30 (5), pp.1821-1833
ISSN
1063-6536
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1821
End Page
1833
Journal / Book Title
IEEE Transactions on Control Systems Technology
Volume
30
Issue
5
Copyright Statement
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Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000732144700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Observers
Modulation
Harmonic analysis
Power system harmonics
Discrete Fourier transforms
Robustness
Current measurement
Active power filters (APFs)
fundamental extraction
harmonics detection
Publication Status
Published
Date Publish Online
2021-11-17