The increasing environmental concerns during the 20th century have moved the research focus from conventional electricity sources to the renewable ones. In renewable power generation, wind energy has been noted as the most rapidly growing technology; it attracts interest as one of the most cost-effective ways to generate electricity from renewable resources. Moreover, using of power electronic devices to regulate and control of the generated power and transfuse to the grid is essential. In wind power systems, by using different control methods on the power electronic converter, synchronization of these resources to power grid is obtained. Studded wind turbine consists of a permanent magnet synchronous generator which is connected to the grid by a back to back (B2B) converter. In this paper, the main purposes are maximum point power tracking of wind turbine and transfusion to grid, control of reactive power by B2B converter and also fixing DC-link voltage in DC-link reference voltage. Proposed control method consists of vector control, combined tilt-integral-derivative compensator, and fuzzy controller. In order to verify the proposed method, a 1.5 MW wind turbine system is simulated in MATLAB/SIMULINK.
This study presents an approach to system identification and adaptive control of a non-inverting buck-boost converter in the presence of large signal changes, uncertainty of converter components and effects of imperfect modelling. Feedback loops of DC-DC converters are typically designed conservatively so that the closed-loop regulation and stability margins are maintained over a predetermined range of operating conditions. The proposed approach is able to keep a high-performance response without the instability issue of dynamic change of the converter. In the presence of uncertainty on the parameters of a DC-DC converter, a digital adaptive controller based on system identification and minimum degree pole placement is proposed. To verify the validity of the proposed digital controller, an experimental setup is constructed for a non-inverting buck-boost converter and the fully digital adaptive control is implemented by a micro controller. The experimental results show the capability of an adaptive controller during different operating points.
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