Robust Fuzzy Neural Network Sliding Mode Control for Wind Turbine with a Permanent Magnet Synchronous Generator
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
In the present paper, we are interested in the contribution of wind power to the electricity supply in power systems of small sized isolated communities. A robust fuzzy neural sliding control (FNSC) is proposed to track the maximum power point for an isolated wind energy conversion system using a permanent magnet synchronous generator (PMSG) with a hysteresis rectifier connected to a DC load. The turbine is controlled by a sliding mode controller (SMC) to reach the maximum power level. The main objective of the control is to adjust the rectifier voltage to provide it to the DC load as well as to maintain the maximum power extraction. In presence of large uncertainties and wind speed variations, the traditional SMC produces the chattering phenomenon due to the higher needed gain. In order to reduce this gain, FNSC is used for the estimation of the unknown part, thus provide lower gain. The stability of the proposed FNSC is analyzed by LYAPUNOV theory, simulations results are presented and the proposed control performance is shown by the comparison with the conventional SMC.
Authors and Affiliations
K. Belamfedel Alaoui, S. Sefriti, I. Boumhidi
Keywords
Related Articles
- EP ID EP310272
- DOI 10.14738/tmlai.54.3336
- Views 51
- Downloads 0
SIMARECH 3: A New Application for the Governance of Scientific Research
In the international context of research assessment, many countries appear to move critically towards a quantitative evaluation policy, which would eventually complement or replace the traditional peer review system. How...
Smart Classroom Environment Via IoT in Basic and Secondary Education
The rapid evolution of information and communication technologies (ICT) has created a new paradigm of the Internet, known as the Internet of Things (IoT), which represents a group of connected objects Using wireless link...
Design of a Smart Model For Geolocalisation and E-commerce in the Semantic Web
Currently, ecommerce has become a pillar of the economy; there are huge growths of websites that offer different products to sell.This variety of web portals and products requires intelligent and autonomous operation to...
Fuzzy Robust H Tracking Control For Wind Generator System: LMI approach
This study concerns the tracking control problem of the wind turbine generator system with uncertainties parameters and external disturbances. Based on TS fuzzy model, a fuzzy observerbased and a fuzzy robust state feedb...
Comparison Performance Evaluation of Modified Genetic Algorithm and Modified Counter Propagation Network for Online Character recognition
This paper carries out performance evaluation of a Modified Genetic Algorithm (MGA) and Modified Counter Propagation Network (MCPN) Network for online character recognition. Two techniques were used to train the feature...