Journal
IET RENEWABLE POWER GENERATION
Volume 10, Issue 5, Pages 687-693Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2015.0320
Keywords
wind turbines; fuzzy control; load regulation; wind power plants; power generation control; power control; control system synthesis; blades; pitch control (position); optimisation; fuzzy logic control design; wind turbine load mitigation; dynamic loading effect; WT control systems; imbalance structural loads; power output regulation; blade individual pitch control methodology; IPC methodology; FLC; blade root moment; generator torque; blade pitch angle; electromagnetic torque control variables; d-q axis blade moment; nonrotating frame; fatigue load mitigation; three-bladed NREL 2 MW WT; optimisation criteria
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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.
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