title: Fuzzy regulator design for wind turbine yaw control.
abstract: This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness.
authors.affiliation: School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh EH14 1AS, UK.
authors.forename: Stefanos
authors.identifier: 0000-0001-5587-3050
authors.initials: S
authors.lastname: Theodoropoulos
authors.affiliation: Department of Electronic Engineering, School of Technological Applications, Technological Institute of Athens, 12210 Athens, Greece.
authors.forename: Dionisis
authors.identifier: 0000-0001-6388-2803
authors.initials: D
authors.lastname: Kandris
authors.affiliation: Department of Energy Technology Engineering, School of Technological Applications, Technological Institute of Athens, 12210 Athens, Greece.
authors.forename: Maria
authors.identifier: 0000-0002-4638-7939
authors.initials: M
authors.lastname: Samarakou
authors.affiliation: Department of Electronic Engineering, School of Technological Applications, Technological Institute of Athens, 12210 Athens, Greece.
authors.forename: Grigorios
authors.initials: G
authors.lastname: Koulouras
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D017076:Computer-Aided Design; D011211:Electric Power Supplies; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D017143:Fuzzy Logic; D008962:Models, Theoretical; D014919:Wind