Gridded-based LPV control of a Clipper Liberty wind turbine

Shu Wang, Peter Seiler

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper proposes a linear parameter varying (LPV) control design for a Clipper Liberty C96 2.5 MW wind turbine to operate in all wind conditions. A standard approach is to use multiple single-input, single-output loops for control objectives at different wind speeds. This LPV controller instead takes these objectives into a uniformed multi-input, multi-output design framework. The key difference is that the LPV controller is specifically designed to smoothly transition from Region 2 to Region 3 operation. Reducing structural loads is another major concern in the design. Synthesis of the controller relies on a gridded-based LPV model of the turbine, which is constructed by interpolation of linearized turbine models at different wind speeds. To overcome the conservativeness in the design, parameter varying rates will be considered based on turbulent wind conditions. The performance of the LPV controller is evaluated using a high fidelity FAST model provided by Clipper. The LPV controller is directly compared with the baseline controller currently operating on the turbine. Simulations and analysis show that the LPV controller meets all performance objectives and has better load reduction performance.

Original languageEnglish (US)
Pages (from-to)1106-1120
Number of pages15
JournalWind Energy
Volume21
Issue number11
DOIs
StatePublished - Nov 2018

Bibliographical note

Funding Information:
Xcel Energy Renewable Energy Fund, Grant/Award Number: RD4-13; National Science Foundation; NSF-CMMI-1254129

Funding Information:
This work was supported by the Xcel Energy Renewable Energy Fund: Contract No. RD4-13 entitled Virtual Wind Simulator with Advanced Control &

Funding Information:
Aeroelastic Model for Improving the Operation of Wind Farms and the National Science Foundation Grant No. NSF-CMMI-1254129 entitled CAREER:

Keywords

  • LPV control
  • load reduction
  • wind-turbine control

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