Fuzzy Sliding Mode Controller of DFIG for Wind Energy Conversion
Journal Title: International Journal of Intelligent Engineering and Systems - Year 2017, Vol 10, Issue 2
Abstract
Wind turbine based on Doubly-Fed Induction Generator (DFIG) is gaining in the growing wind market. This paper describes a design method for the fight control of doubly-fed induction generator (DFIG) based on fuzzy sliding mode control, based on the coupling of the fuzzy logic control and sliding mode control. This technique is defined on general, yet detailed. To ensure this requirement a detailed decoupled modeling of DFIG is presented. The relationship between the control parameters and the desired active and reactive power is provided and tested. The main goal achieved by the control strategy is to control the amount of active and reactive power produced by the doubly fed induction generator and injected in the main grid according to the power references derived from turbine’s mechanical power and the grid operator. The results of simulation are conducted to validate the theory and indicate that the control performance of the DFIG is satisfactory and the proposed fuzzy sliding mode control (FSMC) can achieve favorable tracking performance.
Authors and Affiliations
Ouassila Belounis
Keywords
Related Articles
- EP ID EP229420
- DOI 10.22266/ijies2017.0430.18
- Views 114
- Downloads 0
Routing for Center Concentrated Mesh
As the number of cores increases this affects the performance of the mesh and leads to investigation of new topological concept that is center concentrated Mesh. The topology designed seems to be efficient but the routin...
Availability Modelling of Fault Tolerant Cloud Computing System
Cloud management organisation is an imperative part of cloud computing platform and serving as the resource manager for cloud platforms. The multifaceted nature of cloud-management base makes its high availability (HA),...
Opposition Learning-Based Grey Wolf Optimizer Algorithm for Parallel Machine Scheduling in Cloud Environment
Cloud computing is a novel developing computing paradigm where implementations, information, and IT services are given over the internet. The parallel-machine scheduling (Task-Resource) is the important role in cloud com...
Time-Frequency Representations Adapted to the Characterization of Steels Damaged by the Environment
This article intends to present a time-frequency representations adapted to the characterization of steels damaged by the environment. These techniques are applied for analyzing experimental acoustic signal backscattered...
Base Station Positioning in Wireless Sensor Network to aid Cluster Head Selection Process
In this paper, we propose an (SAPSO) Self-Adaptive Particle Swarm Optimization algorithm to solve the base station positioning problem. This algorithm is used to minimize the distance between the base station and cluster...