Projects per year
Abstract
Model predictive and linear quadratic Gaussian controllers are designed for a 5MW variable-speed pitch-regulated wind turbine for three operating points – below rated wind speed, just above rated wind speed, and above rated wind speed. The controllers are designed based on two different linear dynamic models (at each operating point) of the same wind turbine to study the effect of utilising different control design models (i.e. the model used for designing a model-based controller) on the control performance. The performance of the LQG controller is enhanced by improving the robustness, achieved by replacing the Kalman filter with a modified Luenberger observer, whose gain is obtained to minimise the effect of uncertainty and disturbance.
Original language | English |
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Number of pages | 24 |
Journal | Optimal Control Applications and Methods |
Early online date | 29 Feb 2016 |
DOIs | |
Publication status | E-pub ahead of print - 29 Feb 2016 |
Keywords
- wind turbine control
- model predictive control
- linear quadratic Gaussian
- observer
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Dive into the research topics of 'Model predictive and linear quadratic Gaussian control of a wind turbine'. Together they form a unique fingerprint.Projects
- 2 Finished
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Supergen Wind Hub
Leithead, B., McDonald, A., McMillan, D., Anaya-Lara, O., Brennan, F., McGregor, P., Attya, A., Campos-Gaona, D., Comerford, D., Hur, S. H., Stock, A. & Yue, H.
19/06/14 → 18/09/19
Project: Research
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Supergen Wind Energy Technologies Renewal
Leithead, B., Cruden, A., McGregor, P., Hur, S. H. & Stock, A.
University of Durham, EPSRC (Engineering and Physical Sciences Research Council)
23/04/10 → 31/03/14
Project: Research