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Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 53-732
Full Name: Young-Man Kim
Position: Assistant Professor
Age: ON
Sex: Male
Address: 5201 University Blvd. Laredo, TX 78041
Country: UNITED STATES
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E-mail address: kymkmo@hotmail.com
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Title of the Paper: Probabilistically Robust Fault Detection Filter Design in Wind Turbine Systems
Authors as they appear in the Paper: Young-Man Kim
Email addresses of all the authors: kymkmo@hotmail.com
Number of paper pages: 10
Abstract: This paper presents fault detection filter design in wind turbine systems based on probabilistic robustness theory. Early detection of sensor and actuator faults in wind turbine systems is a critical issue. With the recently developed probabilistic robustness theory, fault detection filter is designed which is robust to model uncertainty without structural restriction. Normally, fault detection filter is designed to satisfy two objectives such as low sensitivity to disturbance and high sensitivity to actual fault. Two types of filter design method in wind turbine systems are introduced, multi-objective setting and mixed H_-/H_∞ setting. This paper proposes sequential subgradient algorithm to apply probabilistic robustness theory to these two cases.
Keywords: Fault detection, Multi-objective optimization
EXTENSION of the file: .pdf
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