Abstract

This paper presents a novel adaptive fault-tolerant neural-based control design for wind turbines with an unknown dynamic and unknown wind speed. By utilizing the barrier Lyapunov function in the analysis of the Lyapunov direct method, the constrained behavior of the system is provided in which the rotor speed, its variation, and generated power remain in the desired bounds. In addition, input saturation is also considered in terms of smooth pitch actuator bounding. Furthermore, by utilizing a Nussbaum-type function in designing the control algorithm, the unpredictable wind speed variation is captured without requiring accurate wind speed measurement, observation, or estimation. Moreover, with the proposed adaptive analytic algorithms, together with the use of radial basis function neural networks, a robust, adaptive, and fault-tolerant control scheme is developed without the need for precise information about the wind turbine model nor the pitch actuator faults. Additionally, the computational cost of the resultant control law is reduced by utilizing a dynamic surface control technique. The effectiveness of the developed design is verified using theoretical analysis tools and illustrated by numerical simulations on a high-fidelity wind turbine benchmark model with different fault scenarios. Comparison of the achieved results to the ones that can be obtained via an available industrial controller shows the advantages of the proposed scheme.

Highlights

  • The key factor for the enhancement of the efficiency of a wind turbine is how to develop the control structure

  • This paper proposed a novel adaptive constrained control methodology for wind turbine power regulation subject to actuation failures as well as unknown system dynamics

  • The constrained rotor speed and generated power were guaranteed while the pitch actuator remained within the desired bounds

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Summary

Introduction

The key factor for the enhancement of the efficiency of a wind turbine is how to develop the control structure. The pitch control design is a vital step in variable pitch wind turbines working in high wind speed, i.e., so-called full load region, to avoid hazardous operation as well as to avoid conservative power generation, i.e., less than nominal power [1]. This objective is often known as power regulation for nominal power generation [2]. In the last decade, modern and advanced controller schemes have been adopted to regulate power generation accurately, e.g., linear parameter varying control [7], gain scheduling [8], adaptive nonlinear control [9], optimal

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