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Fault‐tolerant individual pitch control of floating offshore wind turbines via subspace predictive repetitive control

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TLDR
A Fault-Tolerant Individual Pitch Control scheme is developed to accommodate blade and actuator faults in Floating Offshore Wind Turbines (FOWTs), based on a Subspace Predictive Repetitive Control (SPRC) approach.
Abstract
Individual pitch control (IPC) is an effective and widely used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator faults, and this situation may lead to an emergency shutdown and increased maintenance costs. In this paper, a fault-tolerant individual pitch control (FTIPC) scheme is developed to accommodate these faults in floating offshore wind turbines (FOWTs), based on a Subspace Predictive Repetitive Control (SPRC) approach. To fulfill this goal, an online subspace identification paradigm is implemented to derive a linear approximation of the FOWT system dynamics. Then, a repetitive control law is formulated to attain load mitigation under operating conditions, both in healthy and faulty conditions. Since the excitation noise used for the online subspace identification may interfere with the nominal power generation of the wind turbine, a novel excitation technique is developed to restrict excitation at specific frequencies. Results show that significant load reductions are achieved by FTIPC, while effectively accommodating blade and actuator faults and while restricting the energy of the persistently exciting control action.

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Citations
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Load Reduction for Wind Turbines: an Output Constrained, Subspace Predictive Repetitive Control Approach

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References
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Journal ArticleDOI

Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines

TL;DR: In this paper, the authors provide failure rates for the overall wind turbine and its sub-assemblies and the failure modes for the components/subassemblies that are the highest contributors to the overall failure rate.
Journal ArticleDOI

Fault-Tolerant Control of Wind Turbines: A Benchmark Model

TL;DR: In this paper, the authors presented a test benchmark model for the evaluation of fault detection and accommodation schemes for a wind turbine on a system level, and it includes sensor, actuator, and system faults, namely faults in the pitch system, the drive train, the generator, and the converter system.
Journal ArticleDOI

Multivariable control strategy for variable speed, variable pitch wind turbines

TL;DR: In this paper, a multivariable control strategy for variable speed, variable pitch wind turbine is proposed for the above-rated power operating condition, which is realized by combining a nonlinear dynamic state feedback torque control strategy with a linear control for blade pitch angle.
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