Optimum Fuzzy Logic Control System Design using Cuckoo Search Algorithm for Pitch Control of a Wind Turbine

Abstract

Renewable Energy Systems (RES) are being widely accepted as an alternative to standard conventional energy sources due to depletion of natural resources and their consequential environmental impact. With improving techniques, reducing costs and low environmental impact, wind energy has the potential to become the major part in the world's energy future. The efficiency and control of wind generator is of outmost importance as wind is an intermittent resource. Pitch angle control is the most common means for adjusting the aerodynamic torque of the wind turbine when the wind speed is above rated speed. This paper presents a methodology for designing an optimised Fuzzy Logic Controller (FLC) system using Cuckoo Search Algorithm (CSA) for enhancing the performance of wind turbine by maximizing the captured energy. The simulation results clearly show that the controller demonstrated high performance than conventional PID controller.

A Study of SVM-DTC and Conventional DTC for Induction Motors Drive Fed by Five-level Inverter

“…Principal, theoretical developments and modeling of DTC are well covered in the literature [9]. Figure 1 below shows the structure of the DTC-SVM for induction motor fed by a multilevel inverter.…”

“…The direct torque control (DTC) was initially developed for asynchronous machines during 1986-1988 by TAKAHASHI and DEPENBROCK, [6][7][8][9]. This type of control considers the association of inverter and machine as a set where the vector control is established from the semiconductors switching states.…”

Enhancement of Space Vector Modulation Based-Direct Torque Control Using Fuzzy PI Controller for Doubly Star Induction Motor

“…Generally speaking, a fuzzy logic controller consists of three main parts: fuzzification, fuzzy reasoning and defuzzification [23]. Input variables are the error between commanding value and real value of the flux or the torque and their derivative.…”

A Fuzzy Model Feed Forward Predictive Control of the Nonlinear Tubular Solid-Oxide Fuel Cell System

“…A comprehensive approach based on the use of several models around different operating points has been developed in recent years. The interpolation of these local models through standard activation functions allows to modeling the nonlinear global system [6,7]. This approach is based on using Takagi-Sugeno (TS) fuzzy models [8], known for their universal approximation property.…”