Robust Control Solution of a Wind Turbine
Power generation using wind turbines is a highly researched control field.
Many control designs have been proposed based on continuous-time models
like PI-control, or state observers with state feedback but without special
regard to robustness to model uncertainties. The aim of this thesis was to
design a robust digital controller for a wind turbine.
The design was based on a discrete-time model in the polynomial framework
that was derived from a continuous-time state-space model based on
data from a real plant. A digital controller was then designed by interactive
pole placement to satisfy bounds on sensitivity functions.
As a result the controller eliminates steady state errors after a step
response, gives sufficient damping by using dynamical feedback, tolerates
changes in the dynamics to account for non linear effects, and avoids feedback
of high frequency un modeled dynamics.
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