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Nonlinear Control of Wind Turbines based on an Iterative MPC Technique and Feedback Linearization


X. Zhang

Semester Thesis, HS 12 (10173)

The goals of this project are twofold: In the first part of this project, we investigate a recently proposed iterative MPC algorithm based on feedback linearization, called itFL-MPC. itFL-MPC is a heuristic method that tries to solve a nonlinear optimization problem arising from nonlinear MPC as a series of convex problems which can be solved efficiently. We discuss convergence and optimality of itFL-MPC, and propose possible extensions. In particular, we give sufficient conditions for local convergence of itFL-MPC applied to a SISO system and show that itFL-MPC does, in general, not converge to the optimal solution. In the second part of this project, we use itFL-MPC to control a horizontal axis, variable speed, pitch-regulated wind turbine. Wind power can play a crucial role in the fight against climate change as the total extractable wind power is estimated to be five times the total current global energy production. Sophisticated control techniques are therefore of utmost importance for the economical use of wind energy as they directly aff ect the efficiency of wind turbines. Simulations have shown that itFL-MPC stabilizes the extracted power up to five times faster than standard MPC based on Jacobian linearization.


Type of Publication:

(13)Semester/Bachelor Thesis

K. Margellos

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2012:IFA_4169
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