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.

• Addresses the challenges of designing and implementing advanced wind turbine control techniques to convert kinetic energy into electrical energy
• Studies AI control techniques for wind systems
• Discusses adaptive control, new configuration, backward control of wind systems, and algorithms to optimize control systems of wind systems
• Focuses on new control techniques and their implementation on electronic platforms (such as dSPACE, FPGA, STM, etc)

This book is intended for students, researchers, and professionals working on digital technologies for wind turbine control and integration.