Geometric Fault Detection and Identification in Power Inverters with High Order Filters

S. Mohsen Azizi

doi:10.23919/ACC.2018.8431728

Geometric Fault Detection and Identification in Power Inverters with High Order Filters

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a geometric approach is utilized to design fault detection and identification (FDI) filters for power inverters with high order filters. The geometric approach has the advantage of providing a necessary and sufficient condition to verify the feasibility of FDI filter design, and offering a systematic procedure to design the FDI filters. The FDI filters are designed for inverter component (capacitance, inductance, and resistance) and current sensor faults. Simulation results verify the effectiveness of the proposed geometric FDI filters.

Original language	English (US)
Title of host publication	2018 Annual American Control Conference, ACC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6761-6765
Number of pages	5
ISBN (Print)	9781538654286
DOIs	https://doi.org/10.23919/ACC.2018.8431728
State	Published - Aug 9 2018
Externally published	Yes
Event	2018 Annual American Control Conference, ACC 2018 - Milwauke, United States Duration: Jun 27 2018 → Jun 29 2018

Publication series

Name	Proceedings of the American Control Conference
Volume	2018-June
ISSN (Print)	0743-1619

Other

Other	2018 Annual American Control Conference, ACC 2018
Country/Territory	United States
City	Milwauke
Period	6/27/18 → 6/29/18

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.23919/ACC.2018.8431728

Cite this

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title = "Geometric Fault Detection and Identification in Power Inverters with High Order Filters",

abstract = "In this paper, a geometric approach is utilized to design fault detection and identification (FDI) filters for power inverters with high order filters. The geometric approach has the advantage of providing a necessary and sufficient condition to verify the feasibility of FDI filter design, and offering a systematic procedure to design the FDI filters. The FDI filters are designed for inverter component (capacitance, inductance, and resistance) and current sensor faults. Simulation results verify the effectiveness of the proposed geometric FDI filters.",

author = "Azizi, {S. Mohsen}",

year = "2018",

month = aug,

day = "9",

doi = "10.23919/ACC.2018.8431728",

language = "English (US)",

isbn = "9781538654286",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2018 Annual American Control Conference, ACC 2018",

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note = "2018 Annual American Control Conference, ACC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",

}

Azizi, SM 2018, Geometric Fault Detection and Identification in Power Inverters with High Order Filters. in 2018 Annual American Control Conference, ACC 2018., 8431728, Proceedings of the American Control Conference, vol. 2018-June, Institute of Electrical and Electronics Engineers Inc., pp. 6761-6765, 2018 Annual American Control Conference, ACC 2018, Milwauke, United States, 6/27/18. https://doi.org/10.23919/ACC.2018.8431728

Geometric Fault Detection and Identification in Power Inverters with High Order Filters. / Azizi, S. Mohsen.

2018 Annual American Control Conference, ACC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 6761-6765 8431728 (Proceedings of the American Control Conference; Vol. 2018-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2018/8/9

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N2 - In this paper, a geometric approach is utilized to design fault detection and identification (FDI) filters for power inverters with high order filters. The geometric approach has the advantage of providing a necessary and sufficient condition to verify the feasibility of FDI filter design, and offering a systematic procedure to design the FDI filters. The FDI filters are designed for inverter component (capacitance, inductance, and resistance) and current sensor faults. Simulation results verify the effectiveness of the proposed geometric FDI filters.

AB - In this paper, a geometric approach is utilized to design fault detection and identification (FDI) filters for power inverters with high order filters. The geometric approach has the advantage of providing a necessary and sufficient condition to verify the feasibility of FDI filter design, and offering a systematic procedure to design the FDI filters. The FDI filters are designed for inverter component (capacitance, inductance, and resistance) and current sensor faults. Simulation results verify the effectiveness of the proposed geometric FDI filters.

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ER -

Geometric Fault Detection and Identification in Power Inverters with High Order Filters

Abstract

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