Parameter-varying modelling and fault reconstruction for wind turbine systems

Abstract

In this paper, parameter-varying technique is firstly addressed for modelling a 4.8MW wind turbine system which is nonlinear in essence. It is worthy to point out that the proposed parameter-varying model is capable of describing a nonlinear real-time process by using realtime system parameter updating. Secondly, fault reconstruction approach is proposed to reconstruct system component fault and actuator fault by utilizing augmented adaptive observer technique with parameter-varying. Different from the offline tuning adaptive scheme, the proposed adaptive observer includes adaptive tuning ability to online adjust the observer based on varying parameter. The effectiveness of the proposed parameter-varying modelling and fault reconstruction methods is demonstrated by using a widely-recognized 4.8 MW wind turbine benchmark system.

Real-time monitoring, prognosis, and resilient control for wind turbine systems

“…For the knowledge-based method, the implicit relationship among the wind turbine system variables, referred to as the knowledge base, is extracted from the historical data via training or statistical analysis, and monitoring/fault diagnosis is implemented by checking the consistency between the knowledge base and the real-time wind turbine relationship extracted by using online data analysis and processing. In this special issue, there are 11 papers selected, with a focus on monitoring and fault diagnosis, which uses signal-based [4][5][6][7][8], knowledge-based methods [9][10][11][12][13] and mode-based methods [14], respectively.…”

“…As a result, it is challenging but important to identify system dynamics across the whole wind turbine operation regime. In the paper [14] by Shao et al, a real-time parameter-varying model is built for a 4.8-MW wind turbine benchmark system. A novel observer is proposed with adaptive parameter tuning for fault estimation based on the proposed wind turbine model.…”

Design of dynamic surface controller for robust performance of variable speed wind turbine

“…In the past decade, it has received much attention due to its attractive features such as large power capture, attenuation of mechanical loads, and simple design. The operation of VSWT is highly non-linear due to the stochastic and irregular nature of wind speed [6]. Thus, a robust controller is required for the smooth and efficient operation of VSWT even in the presence of parametric uncertainty.…”

Generalized dynamic observers for quasi‐LPV systems with unmeasurable scheduling functions

“…There are many LPV control/observer applications reported in the literature such as aircraft dynamics, wind turbines, automotive, vehicle motion, mechatronic, anaerobic digesters, biomechanical systems, and unmanned aerial vehicles . On the basis of these applications, it can be noted that the LPV approach is useful when the component parameters, like stiffness, inertias, resistances, and microbial growth rates, are depending on the state variables.…”