Fuzzy gain-scheduled active fault-tolerant control of a wind turbine

DOI10.1016/j.jfranklin.2013.05.007zbMath1290.93101OpenAlexW2051966581MaRDI QIDQ2017287

Henry Hong, Hamed Badihi, Youmin Zhang

Publication date: 25 June 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.05.007

zbMATH Keywords

identificationfuzzy modelingfault-tolerant control (FTC)wind turbinesfault detection and diagnosis (FDD)proportional-integral (PI) controlactive fault-tolerant control system (AFTCS)fuzzy gain scheduling (FGS)

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42)

Related Items (8)

Robust fault-tolerant control of wind turbine systems against actuator and sensor faults ⋮ Reliable \(H_\infty\) control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors and/or actuators ⋮ Active structural control for load mitigation of wind turbines via adaptive sliding-mode approach ⋮ Fault‐tolerant controller design for a master generation unit in an isolated hybrid wind‐diesel power system ⋮ Robust Wind Speed Estimation and Control of Variable Speed Wind Turbines ⋮ An optimal fuzzy-logic based frequency control strategy in a high wind penetrated power system ⋮ Active fault tolerant control of wind turbine systems based on DFIG with actuator fault and disturbance using Takagi-Sugeno fuzzy model ⋮ A new combined actuator fault estimation and accommodation for linear parameter varying system subject to simultaneous and multiple faults: an LMIs approach

Uses Software

• FAST

Cites Work

• Unnamed Item
• Application of a data-driven fuzzy control design to a wind turbine benchmark model
• Automated design of an FDI system for the wind turbine benchmark
• Reliable control design of fuzzy dynamic systems with time-varying delay
• Analysis and Synthesis of Fuzzy Control Systems
• Fuzzy identification of systems and its applications to modeling and control

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