Controlling the meandering wake using measurement feedback

Parul Singh, Peter Seiler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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 languageEnglish (US)
Title of host publication2019 American Control Conference, ACC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781538679265
StatePublished - Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: Jul 10 2019Jul 12 2019

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2019 American Control Conference, ACC 2019
Country/TerritoryUnited States

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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