Automatic Weight Selection and Robust Loop Shaping Control for Doubly Fed Induction Generator

Warachart Sae-Kok and Somyot Kaitwanidvilai


DFIG, Genetic Algorithms, Robust loop shaping control, Automatic weight selection


Automatic weight selection to achieve maximum stability margin for a doubly-fed induction generator (DFIG) is proposed in this paper. Uncertainty and infinity norm of transfer function from disturbances to states are formulated as the objective function in our optimization problem. Although the trial and error method can be applied to specify the performance weight in robust loop shaping method; however, it is still difficult to achieve high stability margin in some cases of control design. In the proposed technique, to enhance the ability and ensure the optimal value of selected weight, Genetic Algorithms (GA) is adopted to find the weight. Robust Loop Shaping technique is then applied to design the controller. Simulation results are shown to verify the effectiveness of the proposed technique.

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