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<i>L</i> <sub>1</sub> adaptive fuzzy control of wind energy conversion systems via variable structure adaptation for all wind speed regions
17
Citations
25
References
2017
Year
Fuzzy SystemsEngineeringFuzzy ModelingReference TurbineWind Turbine AerodynamicsDecentralised Control SchemeControl SystemsFuzzy Control SystemWind TurbinesConversion SystemSystems EngineeringPower SystemsFuzzy LogicWind Power GenerationVariable Structure AdaptationSpeed RegionsWind Turbine ModelingAerospace EngineeringWind Turbine BladesMw Wind TurbineWind Energy Technology
A decentralised control scheme is proposed to manipulate the speed and the pitch angle of a 1.5 MW wind turbine. In region 2, the goal is to capture maximum power by tracking a reference turbine's speed. For region 3, the goal is to regulate the turbine's speed at its rated value and harvest the rated power. L 1 adaptive controllers are proposed to achieve the previous goals. A new L 1 adaptive algorithm, based on fuzzy modelling and variable structure adaptation, is introduced. Performance bounds on the proposed controllers are derived. Simulation results illustrate the superiority of the proposed algorithm compared with both proportional–integral and basic L 1 adaptive controllers.
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