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This book examines and develops digital control techniques for wind power systems and their integration into the grid, with the goal of addressing issues related to the efficiency and quality of energy injected into the electrical network. It provides a comprehensive examination of digital control technologies for wind energy systems, covering a range of configurations, including existing ones (DFIG, PMSG, IM, etc.) as well as new ones (VIENNA, Quadri‑rotor, etc.). This book discusses various control strategies, such as backstepping, sliding mode, and predictive control, and explores their development through artificial intelligence (AI) and the Internet of Things (IoT). These strategies underpin the control systems used in speed variators (e.g., Siemens, ABB) that are highly robust for alternating current machines
