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Magnitude (abs)<br />

To: blade pitch<br />

0.05<br />

0.045<br />

0.04<br />

0.035<br />

0.03<br />

0.025<br />

0.02<br />

0.015<br />

0.01<br />

0.005<br />

0<br />

10 −4<br />

From: wind meas<br />

10 −2<br />

10 0<br />

Bode Diagram<br />

10 −4<br />

Frequency (Hz)<br />

From: gen speed<br />

feedback only<br />

typical measurement<br />

perfect measurement<br />

Figure 152: Frequency responses of H2 optimal feedforward (From: wind meas) and feedback<br />

(From: gen speed) controllers for the NREL 5-MW turbine at a 13 m/s wind speed operating<br />

point, with 9 seconds of available preview time.<br />

perfect knowledge of the turbine model.<br />

10.9 Summary<br />

This chapter presented an introduction to wind turbine control using lidar, primarily focusing<br />

on a frequency domain analysis of lidar measurement quality. Two control examples were<br />

included to highlight the challenges that accompany the design of feedforward controllers<br />

that use lidar measurements. A summary of the main results presented in this chapter is<br />

provided here.<br />

• With perfect preview measurements of wind speeds, a model-inverse feedforward controller<br />

can completely cancel the effect of the wind disturbance on a turbine variable<br />

of interest, assuming perfect turbine modeling. For imperfect preview measurements, a<br />

measurement filter can be introduced such that the mean square value of the turbine<br />

variable is minimized.<br />

• A feedforward control system requires not only measurements of the wind disturbance,<br />

but also a certain amount of preview time required for implementation.<br />

• For blade pitch control, the lidar system should be used to acquire an estimate of the<br />

“blade effective wind speed,” a weighted integral of wind speeds along the blade that<br />

describes the equivalent wind speed experienced by the blade. Furthermore, the longitudinal<br />

component of the wind is of interest because it has the greatest impact on the<br />

rotor aerodynamics.<br />

• The two main sources of lidar measurement error are geometry effects, or estimation<br />

of the longitudinal component using a line-of-sight measurement, and wind evolution,<br />

which represents the decorrelation of the turbulence as it travels downwind between the<br />

measurementlocationandtheturbine.Spatialaveraging,inherentinlidarmeasurements,<br />

appears to help with estimation of blade effective wind speed.<br />

• Windturbinecontrolsystemsareoftendefinedinthenon-rotatingframe,whereestimates<br />

of the collective, vertical shear, and horizontal shear wind components are required, as<br />

opposed to measurements of the wind speed at individual blades.<br />

216 <strong>DTU</strong> Wind Energy-E-Report-0029(EN)<br />

10 −2<br />

10 0

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