Affiliations: [a] Applied Automation and Industrial Diagnostics Laboratory, Djelfa University, Algeria. Email: [email protected]; [email protected] | [b] Faculty of Science and Technology, University of Médéa, Algeria. Email: [email protected]
Abstract: Monitoring and modelling of complex systems continues to be the subject of investigation in several areas. Recently, intelligent control systems based on fuzzy logic have shown their efficiency in many industrial applications. This article proposes the control of the pitch angle of wind turbine driving a Permanent Magnet Synchronous Generator (PMSG) using fuzzy logic approach type-1 and type-2. Indeed, the wind turbine model is highly non-linear; therefore, in this work an intelligent controller is designed to adjust the pitch angles of the blades in this system. The results obtained are satisfactory using fuzzy logic approach type 2 for the control of the pitch angle in the studied system.