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Sliding Mode Control (SMC) is a robust control strategy widely applied in Doubly Fed Induction Generator (DFIG) systems, particularly in wind energy conversion applications. It offers strong resistance to parameter variations and external disturbances, making it highly effective for controlling the rotor-side converter and grid-side converter in DFIG-based wind turbines.
The core principle of SMC for DFIG involves designing a sliding surface based on tracking error dynamics. Once the system state reaches the sliding surface, the control law forces it to remain there, ensuring stability despite uncertainties. The main advantages include fast dynamic response, insensitivity to model inaccuracies, and improved fault ride-through capability.
Common implementations include direct power control using SMC for active and reactive power regulation, or rotor current control for torque and flux adjustments. Challenges like chattering effects can be mitigated through boundary layer techniques or higher-order sliding mode approaches. Compared to traditional PI control, SMC enhances DFIG performance under grid faults and rapid wind speed variations.
Expanding the concept, hybrid strategies combining SMC with fuzzy logic or neural networks further improve adaptability while maintaining robustness - a trending research direction for next-generation wind turbine controls.