System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading.

Berg, Jonathan Charles; Halse, Chris; Crowther, Ashley; Barlas, Thanasis; Wilson, David Gerald; Berg, Dale E; Resor, Brian Ray

Title: System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading.

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Abstract

Prior work on active aerodynamic load control (AALC) of wind turbine blades has demonstrated that appropriate use of this technology has the potential to yield significant reductions in blade loads, leading to a decrease in wind cost of energy. While the general concept of AALC is usually discussed in the context of multiple sensors and active control devices (such as flaps) distributed over the length of the blade, most work to date has been limited to consideration of a single control device per blade with very basic Proportional Derivative controllers, due to limitations in the aeroservoelastic codes used to perform turbine simulations. This work utilizes a new aeroservoelastic code developed at Delft University of Technology to model the NREL/Upwind 5 MW wind turbine to investigate the relative advantage of utilizing multiple-device AALC. System identification techniques are used to identify the frequencies and shapes of turbine vibration modes, and these are used with modern control techniques to develop both Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) LQR flap controllers. Comparison of simulation results with these controllers shows that the MIMO controller does yield some improvement over the SISO controller in fatigue load reduction, but additional improvement is possible with further refinement.more »« less

Authors:

Berg, Jonathan Charles; Halse, Chris ^[1]; Crowther, Ashley ^[1]; Barlas, Thanasis ^[2]; Wilson, David Gerald; Berg, Dale E; Resor, Brian Ray

Romax Technology Ltd., Nottingham, England
Delft University of Technology, Delft, Netherlands

Publication Date:: Tue Jun 01 00:00:00 EDT 2010

Research Org.:: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1021158

Report Number(s):: SAND2010-4293C
TRN: US201116%%1071

DOE Contract Number:: AC04-94AL85000

Resource Type:: Conference

Resource Relation:: Conference: Proposed for presentation at the Torque 2010 Conference - Crete held June 28-30, 2010 in Heraklion, Greece.

Country of Publication:: United States

Language:: English

Subject:: 17 WIND ENERGY; AERODYNAMICS; ALGORITHMS; BEARINGS; OSCILLATION MODES; SENSORS; SIMULATION; TORQUE; TURBINES; WIND TURBINES

Citation Formats


                    Berg, Jonathan Charles, Halse, Chris, Crowther, Ashley, Barlas, Thanasis, Wilson, David Gerald, Berg, Dale E, and Resor, Brian Ray. System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading..  United States: N. p., 2010. 
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                    Berg, Jonathan Charles, Halse, Chris, Crowther, Ashley, Barlas, Thanasis, Wilson, David Gerald, Berg, Dale E, & Resor, Brian Ray. System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading..  United States.

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                    Berg, Jonathan Charles, Halse, Chris, Crowther, Ashley, Barlas, Thanasis, Wilson, David Gerald, Berg, Dale E, and Resor, Brian Ray. 2010.  
        "System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading.".  United States.

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@article{osti_1021158,

  title        = {System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading.},

  author       = {Berg, Jonathan Charles and Halse, Chris and Crowther, Ashley and Barlas, Thanasis and Wilson, David Gerald and Berg, Dale E and Resor, Brian Ray},

  abstractNote = {Prior work on active aerodynamic load control (AALC) of wind turbine blades has demonstrated that appropriate use of this technology has the potential to yield significant reductions in blade loads, leading to a decrease in wind cost of energy. While the general concept of AALC is usually discussed in the context of multiple sensors and active control devices (such as flaps) distributed over the length of the blade, most work to date has been limited to consideration of a single control device per blade with very basic Proportional Derivative controllers, due to limitations in the aeroservoelastic codes used to perform turbine simulations. This work utilizes a new aeroservoelastic code developed at Delft University of Technology to model the NREL/Upwind 5 MW wind turbine to investigate the relative advantage of utilizing multiple-device AALC. System identification techniques are used to identify the frequencies and shapes of turbine vibration modes, and these are used with modern control techniques to develop both Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) LQR flap controllers. Comparison of simulation results with these controllers shows that the MIMO controller does yield some improvement over the SISO controller in fatigue load reduction, but additional improvement is possible with further refinement. In addition, a preliminary investigation shows that AALC has the potential to reduce off-axis gearbox loads, leading to reduced gearbox bearing fatigue damage and improved lifetimes.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1021158},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jun 01 00:00:00 EDT 2010},

  month        = {Tue Jun 01 00:00:00 EDT 2010}

}

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