In order to improve the safety, the reliability, and the efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. Fault Diagnosis and Sustainable Control of Wind Turbines: Robust data–driven and model-based strategies thus summarizes the development of reliable and robust fault diagnosis and fault tolerant control schemes by means of data-driven and model-based approaches. The strategies proposed are able to cope with unknown nonlinear systems and manage measurement errors and noise. To highlight the potential of the proposed methods in real applications, Hardware–In–the–Loop test facilities representing realistic wind turbine systems are considered to analyze the digital implementation of the designed solutions. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. Readers ranging from industrial engineers wishing to gain insight into the applications potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle will find much to learn from this work. Key Features · Analyses wind turbine models that are used as benchmarks for the proposed solutions. · Addresses the design, the development, and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems. · Proposes active fault tolerant (the so-called ‘sustainable’) solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before the required maintenance can occur. · Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modelling and identification and finalizing with diagnosis and fault tolerant control approaches. · Provides MATLAB and Simulink codes for the solutions proposed by the auhtors.
|Titolo:||Fault Diagnosis and Sustainable Control of Wind Turbines : Robust data–driven and model–based strategies|
|Data di pubblicazione:||2018|
|Appare nelle tipologie:||01.1 Monografia o Trattato Scientifico|
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