2022IEEJ Transactions on Electronics Information and SystemsRequires access

Individual Blade Pitch Control with Wind Preview Information for Floating Offshore Wind Turbines

Tomoka Tsuya, Naoyuki Hara, Keiji Konishi

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Abstract

In this paper, we design both an individual blade pitch angle controller and a collective blade pitch angle controller using wind speed preview information for floating offshore wind turbines. The controllers are designed to reduce fluctuations of the rotor speed, platform motions, and load on blades. We apply H2 preview control theory to the linearized model of the floating offshore wind turbine for designing the controllers. We compare the individual blade pitch angle controller with the collective blade pitch angle controller using the high-fidelity wind turbine simulator, FAST. Simulation results show that the individual blade pitch angle controller using incoming wind speed preview suppresses the fluctuations of the rotor speed, platform pitch rate, and load on blades.

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What this paper is about

In this paper, we design both an individual blade pitch angle controller and a collective blade pitch angle controller using wind speed preview information for floating offshore wind turbines. The controllers are designed to reduce fluctuations of the rotor speed, platform motions, and load on blades. We apply H2 preview control theory to the linearized model of the floating offshore wind turbine for designing the controllers. We compare the individual blade pitch angle controller with the collective blade pitch angle controller using the high-fidelity wind turbine simulator, FAST. Simulation results show that the individual blade pitch angle controller using incoming wind speed preview suppresses the fluctuations of the rotor speed, platform pitch rate, and load on blades.

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Available abstract

In this paper, we design both an individual blade pitch angle controller and a collective blade pitch angle controller using wind speed preview information for floating offshore wind turbines. The controllers are designed to reduce fluctuations of the rotor speed, platform motions, and load on blades. We apply H2 preview control theory to the linearized model of the floating offshore wind turbine for designing the controllers. We compare the individual blade pitch angle controller with the collective blade pitch angle controller using the high-fidelity wind turbine simulator, FAST. Simulation results show that the individual blade pitch angle controller using incoming wind speed preview suppresses the fluctuations of the rotor speed, platform pitch rate, and load on blades.

Key concepts: Blade pitch, Pitch control, Pitch angle, Controller (irrigation), Turbine, Offshore wind power, Rotor (electric), Wind speed

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