Open AccessIndividual pitch controller based on fuzzy logic control for wind turbine load mitigation
Author(s) -
Han Bing,
Zhou Lawu,
Yang Fan,
Xiang Zeng
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2015.0320
Subject(s) - control theory (sociology) , turbine , pitch control , controller (irrigation) , torque , moment (physics) , fuzzy logic , wind power , engineering , blade pitch , power (physics) , control engineering , fuzzy control system , computer science , control (management) , mechanical engineering , agronomy , artificial intelligence , biology , physics , electrical engineering , classical mechanics , quantum mechanics , thermodynamics
With the increasing size of modern large wind turbine (WT), the effects of dynamic loading on the structures become an important influence factor. There are mitigation measures for WT control systems to reduce these imbalance structural loads and regulate power. It has motivated the development of blade individual pitch control (IPC) methodologies. This study focuses on the design of fuzzy logic controller (FLC) for IPC. The controllers are designed in order to optimise a trade‐off among several control objectives such as blade root moment and generator torque. Three different FLC had been used in the controllers, the first one related to blade pitch angle and electromagnetic torque control variables to meet specified objectives for operation region, the second control model and the third model related to d ‐ q axis blade moment in non‐rotating frame of reference. Likewise, the optimisation criteria of FLC consider for each controller objective to mitigate fatigue loads and regulate output power. Finally, the effectiveness of proposed method is verified by simulation results for three‐bladed NREL 2 MW WT. The results proved that the fatigue loads in the turbine are reduced obviously.