Controlling the meandering wake using measurement feedback

Parul Singh; Peter Seiler

doi:10.23919/acc.2019.8815180

Controlling the meandering wake using measurement feedback

Parul Singh, Peter Seiler

Aerospace Engineering and Mechanics

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

2 Scopus citations

Abstract

In this paper we design and analyze a measurement feedback H{2} controller to reduce the wake meandering behind a wind turbine. The control design and analysis proceeds in two steps. First, a linear reduced order model of the turbine is obtained using snapshots from a higher-order nonlinear 2D actuator disk model. The higher-order model includes a disturbance precursor generated to model realistic disturbance and turbulence scales. A measurement feedback H{2} controller is then designed for the reduced order linear model assuming access to measurements at 8 downstream locations and the disturbance. The downstream measurement points are determined using insights from a static controller designed using full information of the wind field and incoming disturbances. The control performance is evaluated by simulations on the higherorder nonlinear model.

Original language	English (US)
Title of host publication	2019 American Control Conference, ACC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4144-4150
Number of pages	7
ISBN (Electronic)	9781538679265
DOIs	https://doi.org/10.23919/acc.2019.8815180
State	Published - Jul 2019
Event	2019 American Control Conference, ACC 2019 - Philadelphia, United States Duration: Jul 10 2019 → Jul 12 2019

Publication series

Name	Proceedings of the American Control Conference
Volume	2019-July
ISSN (Print)	0743-1619

Conference

Conference	2019 American Control Conference, ACC 2019
Country/Territory	United States
City	Philadelphia
Period	7/10/19 → 7/12/19

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the NSF under Grant No. NSF-CMMI-1254129 entitled ”CAREER: Probabilistic Tools for High Reliability Monitoring and Control of Wind Farms.” This work was also supported by the Xcel Renewable Development Fund project entitled ”Simulation, Measurement, Modeling, and Control of Wind Plant Power.”

Publisher Copyright:
© 2019 American Automatic Control Council.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.23919/acc.2019.8815180

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Controlling the meandering wake using measurement feedback. / Singh, Parul; Seiler, Peter.
2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 4144-4150 8815180 (Proceedings of the American Control Conference; Vol. 2019-July).

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

Singh, P & Seiler, P 2019, Controlling the meandering wake using measurement feedback. in 2019 American Control Conference, ACC 2019., 8815180, Proceedings of the American Control Conference, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., pp. 4144-4150, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 7/10/19. https://doi.org/10.23919/acc.2019.8815180

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abstract = "In this paper we design and analyze a measurement feedback H{2} controller to reduce the wake meandering behind a wind turbine. The control design and analysis proceeds in two steps. First, a linear reduced order model of the turbine is obtained using snapshots from a higher-order nonlinear 2D actuator disk model. The higher-order model includes a disturbance precursor generated to model realistic disturbance and turbulence scales. A measurement feedback H{2} controller is then designed for the reduced order linear model assuming access to measurements at 8 downstream locations and the disturbance. The downstream measurement points are determined using insights from a static controller designed using full information of the wind field and incoming disturbances. The control performance is evaluated by simulations on the higherorder nonlinear model.",

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note = "Funding Information: ACKNOWLEDGMENT This work was supported by the NSF under Grant No. NSF-CMMI-1254129 entitled ”CAREER: Probabilistic Tools for High Reliability Monitoring and Control of Wind Farms.” This work was also supported by the Xcel Renewable Development Fund project entitled ”Simulation, Measurement, Modeling, and Control of Wind Plant Power.” Publisher Copyright: {\textcopyright} 2019 American Automatic Control Council.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",

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AB - In this paper we design and analyze a measurement feedback H{2} controller to reduce the wake meandering behind a wind turbine. The control design and analysis proceeds in two steps. First, a linear reduced order model of the turbine is obtained using snapshots from a higher-order nonlinear 2D actuator disk model. The higher-order model includes a disturbance precursor generated to model realistic disturbance and turbulence scales. A measurement feedback H{2} controller is then designed for the reduced order linear model assuming access to measurements at 8 downstream locations and the disturbance. The downstream measurement points are determined using insights from a static controller designed using full information of the wind field and incoming disturbances. The control performance is evaluated by simulations on the higherorder nonlinear model.

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Controlling the meandering wake using measurement feedback

Abstract

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