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Title: Progress in Implementing and Testing State-Space Controls for the Controls Advanced Research Turbine: Preprint

Abstract

Designing wind turbines with maximum energy production and longevity for minimal cost is a major goal of the federal wind program and the wind industry. Control can improve the performance of wind turbines by enhancing energy capture and reducing dynamic loads. At the National Renewable Energy Laboratory (NREL) we are designing state-space control algorithms for turbine speed regulation and load reduction and testing them on the Controls Advanced Research Turbine (CART). The CART is a test-bed especially designed to test advanced control algorithms on a two-bladed teetering hub upwind turbine. In this paper we briefly describe the design of control systems to regulate turbine speed in region 3 for the CART. These controls use rotor collective pitch to regulate speed and also enhance damping in the 1st drive-train torsion, 1st rotor symmetric flap mode, and the 1st tower fore-aft mode. We designed these controls using linear optimal control techniques using state estimation based on limited turbine measurements such as generator speed and tower fore-aft bending moment. In this paper, we describe the issues and steps involved with implementing and testing these controls on the CART, and we show simulated tests to quantify controller performance. We then present preliminary results aftermore » implementing and testing these controls on the CART. We compare results from these controls to field test results from a baseline Proportional Integral control system. Finally we report conclusions to this work and outline future studies.« less

Authors:
; ;
Publication Date:
Research Org.:
National Renewable Energy Lab., Golden, CO (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
15011717
Report Number(s):
NREL/CP-500-36818
TRN: US200507%%680
DOE Contract Number:  
AC36-99-GO10337
Resource Type:
Conference
Resource Relation:
Conference: Prepared for the 24th ASME Wind Energy Symposium, Reno, NV (US), 01/10/2005--01/13/2005; Other Information: PBD: 1 Dec 2004
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; ALGORITHMS; BENDING; CONTROL SYSTEMS; DAMPING; DYNAMIC LOADS; FIELD TESTS; OPTIMAL CONTROL; REGULATIONS; ROTORS; TESTING; TORSION; TURBINES; VELOCITY; WIND TURBINES; WIND TURBINE CONTROLS; WIND TURBINE SPEED REGULATION; CONTROLS ADVANCED RESEARCH TURBINE; WIND ENERGY

Citation Formats

Wright, A D, Fingersh, L J, and Stol, K A. Progress in Implementing and Testing State-Space Controls for the Controls Advanced Research Turbine: Preprint. United States: N. p., 2004. Web. doi:10.2514/6.2005-395.
Wright, A D, Fingersh, L J, & Stol, K A. Progress in Implementing and Testing State-Space Controls for the Controls Advanced Research Turbine: Preprint. United States. doi:10.2514/6.2005-395.
Wright, A D, Fingersh, L J, and Stol, K A. Wed . "Progress in Implementing and Testing State-Space Controls for the Controls Advanced Research Turbine: Preprint". United States. doi:10.2514/6.2005-395. https://www.osti.gov/servlets/purl/15011717.
@article{osti_15011717,
title = {Progress in Implementing and Testing State-Space Controls for the Controls Advanced Research Turbine: Preprint},
author = {Wright, A D and Fingersh, L J and Stol, K A},
abstractNote = {Designing wind turbines with maximum energy production and longevity for minimal cost is a major goal of the federal wind program and the wind industry. Control can improve the performance of wind turbines by enhancing energy capture and reducing dynamic loads. At the National Renewable Energy Laboratory (NREL) we are designing state-space control algorithms for turbine speed regulation and load reduction and testing them on the Controls Advanced Research Turbine (CART). The CART is a test-bed especially designed to test advanced control algorithms on a two-bladed teetering hub upwind turbine. In this paper we briefly describe the design of control systems to regulate turbine speed in region 3 for the CART. These controls use rotor collective pitch to regulate speed and also enhance damping in the 1st drive-train torsion, 1st rotor symmetric flap mode, and the 1st tower fore-aft mode. We designed these controls using linear optimal control techniques using state estimation based on limited turbine measurements such as generator speed and tower fore-aft bending moment. In this paper, we describe the issues and steps involved with implementing and testing these controls on the CART, and we show simulated tests to quantify controller performance. We then present preliminary results after implementing and testing these controls on the CART. We compare results from these controls to field test results from a baseline Proportional Integral control system. Finally we report conclusions to this work and outline future studies.},
doi = {10.2514/6.2005-395},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {12}
}

Conference:
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