Abstract

An improved perturbation observer-based mu-ltiloop adaptive control (POMAC) method is proposed for the integrated control of a doubly fed induction generator-based wind turbine (DFIG-WT). In the proposed method, the DFIG-WT is first broken down into four independent subsystems in accordance with four outputs. Meanwhile, the compensation terms used in the vector control (VC) are adopted in order to achieve the complete decoupling among the subsystems. Then, in each subsystem, a perturbation term is introduced to describe the nonlinear dynamics and uncertainties of the subsystem. Estimates of the system's states and perturbation term are obtained by a high-gain state and perturbation observer (HGSPO). Finally, the optimal output feedback control of DFIG-WT is achieved using these estimations instead of the actual values. Simulation studies are carried out using MATLAB/Simulink. Meanwhile, a hardware-in-the-loop test platform is set up using the combination of digital signal processing and control engineering and real-time digital simulator, on which the experiment is carried out to test the validity of the proposed method. Results of the simulation and experiment reveal that POMAC performs better than VC in various cases, including variable wind speed conditions, slight grid voltage dip, and severe three-phase bolted fault. Moreover, its hardware implementation illustrates that POMAC can be used in real time in practice.

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