NEURAL NETWORK CONTROLLER FOR A PERMANENT MAGNET GENERATOR APPLIED IN WIND ENERGY CONVERSION SYSTEM

다국어 초록 (Multilingual Abstract)

In this paper a neural network controller for achieving maximum power tracking as well as output voltage regulation, for a wind energy conversion system(WECS) employing a permanent magnet synchronous generator, is proposed The permanent magnet generator (PMG) supplies a dc load via a bridge rectifier and two buck-boost converters Adjusting the switching frequency of the first buck-boost converter achieves maximum power tracking Adjusting the switching frequency of the second buck-boost converter allows output voltage regulation The on-timesof the switching devices ofthe two converters are supplied by thedeveloped neura! network(NN), The effect of sudden changes in wind speed ,and/or in reference voltage on the performance of the NN controller are explored Simulation results showed the possibility of achieving maximum power tracking and output voltage regulation simultaneously with the developed neural network controller The results proved also the fast response and robustness of the proposed control system.

목차 (Table of Contents)

• Abstract
  
• 1.INTRODUCTION
  
• 2.SYSTEM DESCRIPTION
  
• 3.CONTROL STRATEGY
  
• 4.NEURAL NETWORK STRUCTURE
  
• 5.SIMUALTION RESULTS
  
• 6.CONCLUSION
  
• 7.REFERENCES