Optimal multivariable individual pitch control for load reduction of large wind turbines

Mehdi Vali, Jan-Willem van Wingerden, M Kuhn

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

11 Citations (Scopus)

Abstract

This paper studies the active rotor load controller design for a large wind turbine via individual pitch control (IPC). A multivariable IPC is designed to reject the periodic load disturbances, in an optimal manner, by penalizing the control effort according to the pitch actuator constraints. Frequency response analysis of the well-known multi-blade coordinate (MBC) transformation describes how the rotational speed variations influence the flexible modes of the blades. Therefore, a multivariable plant is constructed in the frequency-domain, compatible with applying the disturbance rejection control approaches. Then, a mixed sensitivity H∞ optimization problem is formulated based on the obtained MIMO model. The performance of the synthesized controller is analyzed and compared with the PI-based IPC. Finally, the dynamic load mitigation of the developed controller is studied through the fatigue load analysis with a high-fidelity aeroelastic simulator. Results show a significant amount of load alleviation in return for an even lower level of the pitch activity, with respect to the PI-based IPC.
Original languageEnglish
Title of host publicationProceedings of the 2016 American Control Conference (ACC 2016)
EditorsGeorge Chiu, Katie Johnson, Danny Abramovitch
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages3163-3169
ISBN (Print)978-1-4673-8682-1
DOIs
Publication statusPublished - 2016
EventAmerican Control Conference (ACC), 2016 - Boston, MA, United States
Duration: 6 Jul 20168 Jul 2016

Conference

ConferenceAmerican Control Conference (ACC), 2016
Abbreviated titleACC 2016
CountryUnited States
CityBoston, MA
Period6/07/168/07/16

Keywords

  • Blades
  • Aerodynamics
  • Rotors
  • Wind turbines
  • Actuators
  • MIMO
  • Mathematical model

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  • Cite this

    Vali, M., van Wingerden, J-W., & Kuhn, M. (2016). Optimal multivariable individual pitch control for load reduction of large wind turbines. In G. Chiu, K. Johnson, & D. Abramovitch (Eds.), Proceedings of the 2016 American Control Conference (ACC 2016) (pp. 3163-3169). IEEE. https://doi.org/10.1109/ACC.2016.7525404