Robust control design for load reduction on a liberty wind turbine

Daniel Ossmann; Julian Theis; Peter Seiler

doi:10.1115/DSCC2016-9719

Robust control design for load reduction on a liberty wind turbine

Daniel Ossmann, Julian Theis, Peter Seiler

Aerospace Engineering and Mechanics

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

6 Scopus citations

Abstract

The increasing size of modern wind turbines also increases the structural loads on the turbine caused by effects like turbulence or asymmetries in the inflowing wind field. Consequently, the use of advanced control algorithms for active load reduction has become a relevant part of current wind turbine control systems. In this paper, an H∞-norm optimal multivariable control design approach for an individual blade-pitch control law is presented. It reduces the structural loads both on the rotating and non-rotating parts of the turbine. Classical individual blade-pitch control strategies rely on single control loops with low bandwidth. The proposed approach makes it possible to use a higher bandwidth since it takes into account coupling at higher frequencies. A controller is designed for the utility-scale 2.5MW Liberty research turbine operated by the University of Minnesota. Stability and performance are verified using a highfidelity nonlinear benchmark model.

Original language	English (US)
Title of host publication	Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791850695
DOIs	https://doi.org/10.1115/DSCC2016-9719
State	Published - 2016
Event	ASME 2016 Dynamic Systems and Control Conference, DSCC 2016 - Minneapolis, United States Duration: Oct 12 2016 → Oct 14 2016

Publication series

Name	ASME 2016 Dynamic Systems and Control Conference, DSCC 2016
Volume	1

Other

Other	ASME 2016 Dynamic Systems and Control Conference, DSCC 2016
Country/Territory	United States
City	Minneapolis
Period	10/12/16 → 10/14/16

Bibliographical note

Publisher Copyright:
Copyright © 2016 by ASME.

UN SDGs

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

Access

10.1115/DSCC2016-9719

OpenUrl availability

Full text

Cite this

Ossmann, D., Theis, J., & Seiler, P. (2016). Robust control design for load reduction on a liberty wind turbine. In Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016; Vol. 1). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2016-9719

Robust control design for load reduction on a liberty wind turbine. / Ossmann, Daniel; Theis, Julian; Seiler, Peter.
Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation. American Society of Mechanical Engineers, 2016. (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016; Vol. 1).

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

Ossmann, D, Theis, J & Seiler, P 2016, Robust control design for load reduction on a liberty wind turbine. in Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation. ASME 2016 Dynamic Systems and Control Conference, DSCC 2016, vol. 1, American Society of Mechanical Engineers, ASME 2016 Dynamic Systems and Control Conference, DSCC 2016, Minneapolis, United States, 10/12/16. https://doi.org/10.1115/DSCC2016-9719

Ossmann D, Theis J, Seiler P. Robust control design for load reduction on a liberty wind turbine. In Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation. American Society of Mechanical Engineers. 2016. (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016). doi: 10.1115/DSCC2016-9719

Ossmann, Daniel ; Theis, Julian ; Seiler, Peter. / Robust control design for load reduction on a liberty wind turbine. Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation. American Society of Mechanical Engineers, 2016. (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016).

@inproceedings{1457ce3b00634fd989568fbe9aecfe72,

title = "Robust control design for load reduction on a liberty wind turbine",

abstract = "The increasing size of modern wind turbines also increases the structural loads on the turbine caused by effects like turbulence or asymmetries in the inflowing wind field. Consequently, the use of advanced control algorithms for active load reduction has become a relevant part of current wind turbine control systems. In this paper, an H∞-norm optimal multivariable control design approach for an individual blade-pitch control law is presented. It reduces the structural loads both on the rotating and non-rotating parts of the turbine. Classical individual blade-pitch control strategies rely on single control loops with low bandwidth. The proposed approach makes it possible to use a higher bandwidth since it takes into account coupling at higher frequencies. A controller is designed for the utility-scale 2.5MW Liberty research turbine operated by the University of Minnesota. Stability and performance are verified using a highfidelity nonlinear benchmark model.",

author = "Daniel Ossmann and Julian Theis and Peter Seiler",

note = "Publisher Copyright: Copyright {\textcopyright} 2016 by ASME.; ASME 2016 Dynamic Systems and Control Conference, DSCC 2016 ; Conference date: 12-10-2016 Through 14-10-2016",

year = "2016",

doi = "10.1115/DSCC2016-9719",

language = "English (US)",

series = "ASME 2016 Dynamic Systems and Control Conference, DSCC 2016",

publisher = "American Society of Mechanical Engineers",

booktitle = "Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation",

}

TY - GEN

T1 - Robust control design for load reduction on a liberty wind turbine

AU - Ossmann, Daniel

AU - Theis, Julian

AU - Seiler, Peter

PY - 2016

Y1 - 2016

N2 - The increasing size of modern wind turbines also increases the structural loads on the turbine caused by effects like turbulence or asymmetries in the inflowing wind field. Consequently, the use of advanced control algorithms for active load reduction has become a relevant part of current wind turbine control systems. In this paper, an H∞-norm optimal multivariable control design approach for an individual blade-pitch control law is presented. It reduces the structural loads both on the rotating and non-rotating parts of the turbine. Classical individual blade-pitch control strategies rely on single control loops with low bandwidth. The proposed approach makes it possible to use a higher bandwidth since it takes into account coupling at higher frequencies. A controller is designed for the utility-scale 2.5MW Liberty research turbine operated by the University of Minnesota. Stability and performance are verified using a highfidelity nonlinear benchmark model.

AB - The increasing size of modern wind turbines also increases the structural loads on the turbine caused by effects like turbulence or asymmetries in the inflowing wind field. Consequently, the use of advanced control algorithms for active load reduction has become a relevant part of current wind turbine control systems. In this paper, an H∞-norm optimal multivariable control design approach for an individual blade-pitch control law is presented. It reduces the structural loads both on the rotating and non-rotating parts of the turbine. Classical individual blade-pitch control strategies rely on single control loops with low bandwidth. The proposed approach makes it possible to use a higher bandwidth since it takes into account coupling at higher frequencies. A controller is designed for the utility-scale 2.5MW Liberty research turbine operated by the University of Minnesota. Stability and performance are verified using a highfidelity nonlinear benchmark model.

UR - http://www.scopus.com/inward/record.url?scp=85015956528&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015956528&partnerID=8YFLogxK

U2 - 10.1115/DSCC2016-9719

DO - 10.1115/DSCC2016-9719

M3 - Conference contribution

AN - SCOPUS:85015956528

T3 - ASME 2016 Dynamic Systems and Control Conference, DSCC 2016

BT - Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation

PB - American Society of Mechanical Engineers

T2 - ASME 2016 Dynamic Systems and Control Conference, DSCC 2016

Y2 - 12 October 2016 through 14 October 2016

ER -

Robust control design for load reduction on a liberty wind turbine

Abstract

Publication series

Other

Bibliographical note

UN SDGs

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this