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Title Wind Turbine Modelling, Control and Fault Detection
Author Dolan, Barry
Supervisor Poulsen, Niels Kjølstad (Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Niemann, Hans Henrik (Automation and Control, Department of Electrical Engineering, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2010
Abstract Wind turbines are subject to dynamic loading due to both stochastic wind speed variation caused by turbulence and periodic wind speed variation caused by wind shear and the tower shadow effect. Therefore, a detailed non-linear wind turbine model capable of simulating these effects is developed and described in detail. A linearised periodic state space description of a simplified version of the non-linear model is obtained as a function of the rotor azimuth angle. From this, a pitch control scheme is developed, using individual pitch action to regulate the turbines speed and power output. Sensor noise on measurements taken from the wind turbine is simulated, and a Kalman filter is used to estimate the state. The Kalman filter also acts as a residual generator for fault detection, and a cumulative sum (CUSUM) test is used to evaluate the residuals. A fault, in the form of a pitch misalignment is detected using blade root bending moment measurements.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-M.Sc.-2010-66
Fulltext
Original PDF ep10_66.pdf (2.52 MB)
Admin Creation date: 2010-09-03    Update date: 2010-10-28    Source: dtu    ID: 266446    Original MXD