Finite time estimation of actuator faults, states, and aerodynamic load of a realistic wind turbine. (January 2019)

• Record Type: Journal Article
• Authors: Rahnavard, Mostafa; Ayati, Moosa; Hairi Yazdi, Mohammad Reza; Mousavi, Mohammad
• Is Part Of: Renewable energy. Volume 130(2019)
• Page Start: 256
• Page End: 267
• Publication Date: 2019-01
• Subjects: Fault detection and isolation -- Fault reconstruction -- Terminal sliding mode observer -- Lyapunov stability theorem -- Wind turbine; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2018.06.053
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: This paper provides finite time estimation of wind turbine actuator faults and unknown aerodynamic load. Furthermore, finite-time state estimation of drivetrain, generator, and pitch subsystems are addressed in the contrary of asymptotic state/fault estimation in previous works. A realistic wind turbine model, incorporating the aero-elastic FAST simulator, is considered as the simulation example. Generally, aerodynamic load is not measurable in real applications due to instrument limitations, then, it is considered as an unknown input in this study. A novel terminal sliding mode observer is introduced for finite-time estimation of generator/convertor states, faults, and unknown aerodynamic load. Pitch actuator hydraulic pressure drop is modelled as an additive fault, by introducing a fault indicator. Then, two cascaded sliding mode observers are exploited for each pitch subsystem, to provide finite time state and fault reconstructions. Sufficient number of design parameters helps to achieve desired accuracy and convergence time. Finally, simulation results authenticate finite time estimation of wind turbine states and simultaneous actuator faults. Highlights: This paper proposes a fault detection algorithm for generator and pitch actuator faults utilizing. A novel terminal sliding mode observer is utilized for generator fault detection and reconstruction. Hydraulic pressure drop fault of each pitch actuator, is reconstructed by two cascaded sliding mode observers. The terminal sliding mode observer reconstructs the states, aerodynamic torque, and faults in finite time. Numerical simulations are performed in FAST & MATLAB Simulink to a benchmark wind turbine model.