A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator

Abstract

This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS). The wind generator used was a variable speed wind turbine based on a doubly fed induction generator (DFIG). Fuzzy logic concepts have been applied with great success in many applications worldwide. So far, the vast majority of systems have used type-1 fuzzy logic controllers. However, T1-FLC cannot handle the high level of uncertainty in systems (complex and non-linear systems). The amount of uncertainty in a system could be reduced by using type-2 fuzzy logic since it offers better capabilities to handle linguistic uncertainties by modeling vagueness and unreliability of information. A new concept based on an interval type-2 fuzzy logic controller (IT-2 FLC) was developed because of its uncertainty management capabilities. Both these control strategies were designed and their performances compared for the purpose of showing the control most efficient in terms of reference tracking and robustness. We made a comparison between the performance of the type-1 fuzzy logic controller (T1-FLC) and interval type-2 fuzzy logic controller (IT2-FLC). The simulation results clearly manifest the height robustness of the interval type-2 fuzzy logic controller in comparison to the T1-FLC in terms of rise time, settling time, and overshoot value. The simulations were realized by MATLAB/Simulink software.

Improved Rotor Flux and Torque Control Based on the Third-Order Sliding Mode Scheme Applied to the Asynchronous Generator for the Single-Rotor Wind Turbine

“…The asynchronous generator is one of the most popular and widely used in the field of wind energy due to its low maintenance, reduced cost, robustness, efficiency, ease of control, minimum energy losses, and ability to work at a speed that varies by ±33% around the synchronous speed [35]. On the other hand, this is evident in the number of papers published on AG, where several controls have been developed in order to improve the characteristics of this generator [36][37][38][39][40].…”

Influence of interval type-2 fuzzy control approach for a grid-interconnected doubly-fed induction generator driven by wind energy turbines in variable-speed system

“…The interval type-2 FS output is converted to type-1 FS in an extra stage known as type reduction, which is then applied to the defuzzification process to provide a crisp output. Algorithms for type reduction can be used in a variety of ways, including height, centroid, center-of-set, and modified height [16]. The configuration of interval type-2 FLS is shown in Fig.…”

“…There are previous studies that implemented interval type-2 FLC to control VSWT as in [15], the authors applied the interval type-2 FLC to control the rotor voltage of the DFIG to enhance active and reactive power performance. In [16], the authors applied the interval type-2 FLC in rotor current regulation to enhance active and reactive power performance. In [17], the authors also applied the interval type-2 FLC to control the rotor voltage of the DFIG to enhance active and reactive power performance.…”

Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Model Reference Adaptive Control

“…Pressing ecological issues, particularly concerning global warming, have drawn attention to renewable energy sources (RESs) [ 1 , 2 ]. In view of RESs, wind energy is the most extensive renewable source.…”

“…Despite using anemometers for wind-speed measurement, [ 22 ] used large forward step size and small reverse step size, which successfully accelerated the tracking speed under fast wind fluctuations. Based on a speed-sensorless tracking process with adaptive perturbation step size, the suggested algorithm in [ 2 ] can effectively offer the solution to recent tracking drawbacks, in which the rectifier input voltage and current are utilized. Similarly, in [ 34 ], the previous strategy with minor modifications is applied.…”