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- W3110157800 abstract "Wind turbines operate under random and harsh operating conditions due to several environmental factors. The main source of disturbance is the wind profile due to wind shear and tower shadow influence on the aerodynamic torque driving the system. Disturbed aerodynamic torque induces unwanted operating conditions for all wind turbines subsystems. This study proposes a novel combined unknown input observer (UIO) and linear parameter varying (LPV) approach. In a first instance an UIO approach for disturbance isolation in the input aerodynamic torque as a simple, fast and accurate method. In addition, a comparison with an Extended Kalman filter approach for disturbance isolation is introduced. Then, when the isolation occurs, an LPV controller is used as an active controller for disturbance attenuation in the speed range of the wind turbine. The LPV controller injects a current signal into the generator opposing the disturbance signature introduced by the wind profile. The aim of the UIO-LPV strategy is limiting the amount of generated current and being able to extend the amount of disturbance attenuation. The strategy is applied to a permanent magnet synchronous generator (PMSG) based wind turbine with experimental tests and results by the means of a test rig." @default.
- W3110157800 created "2020-12-07" @default.
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- W3110157800 date "2020-10-15" @default.
- W3110157800 modified "2023-10-02" @default.
- W3110157800 title "Wind profile disturbance isolation and attenuation through an UIO–LPV approach in PMSG‐based wind turbines" @default.
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- W3110157800 doi "https://doi.org/10.1049/iet-cta.2020.0167" @default.
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