Influence of feedback on the MTC estimate by noise analysis

Griet Monteyne; Peter Baeten; Johan Schoukens

Influence of feedback on the MTC estimate by noise analysis

Griet Monteyne, Peter Baeten, Johan Schoukens

Research output › peer-review

1 Scopus citations

Abstract

This article discusses the influence of feedback on the Moderator Temperature Coefficient (MTC) estimate by a noise analysis method. Until now feedback was considered to be negligible in the frequency band of interest. However measurements at a Belgian Nuclear Power Plant will be used to show that the influence of feedback on the MTC estimate is not negligible in the frequency band of interest. This makes the analysis difficult since the presence of feedback creates systematic errors in the MTC estimate unless special experimental conditions can be realized. The theoretical analysis will explain how the most used non-parametric estimation of the MTC is influenced by the presence of the feedback. For the explanation we will consider a simplified scheme of the MTC measurement setup with feedback. The theory will be verified by simulations in MATLAB. For the verification we consider a simplified system captured in a feedback loop. We will estimate the system for different situations. It will be seen that the non-parametric system estimate is only unbiased when the signal that is fed back to the input is negligible in comparison with the reference signal. Since the feedback is not negligible in practice, special experimental conditions are required to obtain an unbiased non-parametric MTC estimate.

Original language	English
Title of host publication	7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Pages	662-669
Number of pages	8
Volume	1
State	Published - 2010
Event	2010 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010 - Las Vegas, NV Duration: 7 Nov 2010 → 11 Nov 2010

Publication series

Name	7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Volume	1

Conference

Conference	2010 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Country/Territory	United States
City	Las Vegas, NV
Period	2010-11-07 → 2010-11-11

ASJC Scopus subject areas

Human-Computer Interaction
Nuclear Energy and Engineering
Control and Systems Engineering

Cite this

Monteyne, G., Baeten, P., & Schoukens, J. (2010). Influence of feedback on the MTC estimate by noise analysis. In 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010 (Vol. 1, pp. 662-669). (7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010; Vol. 1).

Monteyne, Griet ; Baeten, Peter ; Schoukens, Johan. / Influence of feedback on the MTC estimate by noise analysis. 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010. Vol. 1 2010. pp. 662-669 (7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010).

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title = "Influence of feedback on the MTC estimate by noise analysis",

abstract = "This article discusses the influence of feedback on the Moderator Temperature Coefficient (MTC) estimate by a noise analysis method. Until now feedback was considered to be negligible in the frequency band of interest. However measurements at a Belgian Nuclear Power Plant will be used to show that the influence of feedback on the MTC estimate is not negligible in the frequency band of interest. This makes the analysis difficult since the presence of feedback creates systematic errors in the MTC estimate unless special experimental conditions can be realized. The theoretical analysis will explain how the most used non-parametric estimation of the MTC is influenced by the presence of the feedback. For the explanation we will consider a simplified scheme of the MTC measurement setup with feedback. The theory will be verified by simulations in MATLAB. For the verification we consider a simplified system captured in a feedback loop. We will estimate the system for different situations. It will be seen that the non-parametric system estimate is only unbiased when the signal that is fed back to the input is negligible in comparison with the reference signal. Since the feedback is not negligible in practice, special experimental conditions are required to obtain an unbiased non-parametric MTC estimate.",

keywords = "Feedback, Moderator temperature coefficient, Noise analysis",

author = "Griet Monteyne and Peter Baeten and Johan Schoukens",

year = "2010",

language = "English",

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series = "7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010",

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Monteyne, G, Baeten, P & Schoukens, J 2010, Influence of feedback on the MTC estimate by noise analysis. in 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010. vol. 1, 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010, vol. 1, pp. 662-669, 2010 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010, Las Vegas, NV, United States, 2010-11-07.

Influence of feedback on the MTC estimate by noise analysis. / Monteyne, Griet; Baeten, Peter; Schoukens, Johan.
7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010. Vol. 1 2010. p. 662-669 (7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010; Vol. 1).

Research output › peer-review

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AU - Baeten, Peter

AU - Schoukens, Johan

PY - 2010

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N2 - This article discusses the influence of feedback on the Moderator Temperature Coefficient (MTC) estimate by a noise analysis method. Until now feedback was considered to be negligible in the frequency band of interest. However measurements at a Belgian Nuclear Power Plant will be used to show that the influence of feedback on the MTC estimate is not negligible in the frequency band of interest. This makes the analysis difficult since the presence of feedback creates systematic errors in the MTC estimate unless special experimental conditions can be realized. The theoretical analysis will explain how the most used non-parametric estimation of the MTC is influenced by the presence of the feedback. For the explanation we will consider a simplified scheme of the MTC measurement setup with feedback. The theory will be verified by simulations in MATLAB. For the verification we consider a simplified system captured in a feedback loop. We will estimate the system for different situations. It will be seen that the non-parametric system estimate is only unbiased when the signal that is fed back to the input is negligible in comparison with the reference signal. Since the feedback is not negligible in practice, special experimental conditions are required to obtain an unbiased non-parametric MTC estimate.

AB - This article discusses the influence of feedback on the Moderator Temperature Coefficient (MTC) estimate by a noise analysis method. Until now feedback was considered to be negligible in the frequency band of interest. However measurements at a Belgian Nuclear Power Plant will be used to show that the influence of feedback on the MTC estimate is not negligible in the frequency band of interest. This makes the analysis difficult since the presence of feedback creates systematic errors in the MTC estimate unless special experimental conditions can be realized. The theoretical analysis will explain how the most used non-parametric estimation of the MTC is influenced by the presence of the feedback. For the explanation we will consider a simplified scheme of the MTC measurement setup with feedback. The theory will be verified by simulations in MATLAB. For the verification we consider a simplified system captured in a feedback loop. We will estimate the system for different situations. It will be seen that the non-parametric system estimate is only unbiased when the signal that is fed back to the input is negligible in comparison with the reference signal. Since the feedback is not negligible in practice, special experimental conditions are required to obtain an unbiased non-parametric MTC estimate.

KW - Feedback

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T3 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010

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BT - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010

T2 - 2010 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010

Y2 - 7 November 2010 through 11 November 2010

ER -

Monteyne G, Baeten P, Schoukens J. Influence of feedback on the MTC estimate by noise analysis. In 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010. Vol. 1. 2010. p. 662-669. (7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010).