Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control
Fidelity of a plant's dynamic model is a concern in any controller design process. In this context, fidelity refers to which dynamics of the plant needs to be included in the control model and which dynamics can be left out or approximated. Studies on wind turbine control have shown that modell...
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sg-ntu-dr.10356-821802023-03-04T17:15:38Z Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control Girsang, Irving Paul Dhupia, Jaspreet S. School of Mechanical and Aerospace Engineering Wind Turbine Stochastic Disturbance Accommodating Control Fidelity of a plant's dynamic model is a concern in any controller design process. In this context, fidelity refers to which dynamics of the plant needs to be included in the control model and which dynamics can be left out or approximated. Studies on wind turbine control have shown that modelling error due to the unmodeled dynamics can lead to unstable closed-loop dynamics. This paper investigates the use of Kalman estimator to design the Stochastic Disturbance Accommodating Control (SDAC) scheme to stabilize the system in the presence of the unmodeled dynamics. Performance of the presented control scheme is investigated through simulations on two different wind turbine configurations under turbulent wind conditions with different mean wind speeds and turbulence intensities using FAST (Fatigue, Aerodynamics, Structures, and Turbulence) aero-elastic tool. The generator speed regulation, drivetrain load, and control effort of the presented control scheme are compared with those of the baseline Gain Scheduled Proportional Integral (GSPI) controller. The results indicate better speed regulation and lower drivetrain load for the presented SDAC under the tested wind conditions. Published version 2016-08-18T07:51:34Z 2019-12-06T14:48:06Z 2016-08-18T07:51:34Z 2019-12-06T14:48:06Z 2013 Journal Article Girsang, I. P., & Dhupia, J. S. (2013). Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control. Wind Engineering, 37(5), 517-534. 0309-524X https://hdl.handle.net/10356/82180 http://hdl.handle.net/10220/41164 10.1260/0309-524X.37.5.517 en Wind Engineering © 2013 Multi-Science Publishing. This paper was published in Wind Engineering and is made available as an electronic reprint (preprint) with permission of Multi-Science Publishing. The published version is available at: [http://dx.doi.org/10.1260/0309-524X.37.5.517]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 18 p. application/pdf |
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Wind Turbine Stochastic Disturbance Accommodating Control Girsang, Irving Paul Dhupia, Jaspreet S. Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control |
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Fidelity of a plant's dynamic model is a concern in any controller design process. In this context, fidelity refers to which dynamics of the plant needs to be included in the control model and which dynamics can be left out or approximated. Studies on wind turbine control have shown that modelling error due to the unmodeled dynamics can lead to unstable closed-loop dynamics. This paper investigates the use of Kalman estimator to design the Stochastic Disturbance Accommodating Control (SDAC) scheme to stabilize the system in the presence of the unmodeled dynamics. Performance of the presented control scheme is investigated through simulations on two different wind turbine configurations under turbulent wind conditions with different mean wind speeds and turbulence intensities using FAST (Fatigue, Aerodynamics, Structures, and Turbulence) aero-elastic tool. The generator speed regulation, drivetrain load, and control effort of the presented control scheme are compared with those of the baseline Gain Scheduled Proportional Integral (GSPI) controller. The results indicate better speed regulation and lower drivetrain load for the presented SDAC under the tested wind conditions. |
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School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Girsang, Irving Paul Dhupia, Jaspreet S. |
format |
Article |
author |
Girsang, Irving Paul Dhupia, Jaspreet S. |
author_sort |
Girsang, Irving Paul |
title |
Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control |
title_short |
Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control |
title_full |
Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control |
title_fullStr |
Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control |
title_full_unstemmed |
Collective Pitch Control of Wind Turbines using Stochastic Disturbance Accommodating Control |
title_sort |
collective pitch control of wind turbines using stochastic disturbance accommodating control |
publishDate |
2016 |
url |
https://hdl.handle.net/10356/82180 http://hdl.handle.net/10220/41164 |
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1759857869714358272 |