RBF NEURAL NETWORK ROBUST ADAPTIVE CONTROL FOR WIND GENERATOR SYSTEM

Authors

  • Y. Zuo Hunan University
  • Y. N. Wang Hunan University
  • Y. Zhang Changsha University of Science and Technology
  • Z. L. Shen Changsha University of Science and Technology
  • Z. S. Chen Changsha University of Science and Technology
  • J. Chen Changsha University of Science and Technology
  • Q. Y. Xie Changsha University of Science and Technology

DOI:

https://doi.org/10.5755/j01.mech.17.5.736

Abstract

The RBF neural network robust adaptive control method of wind generator system is studied in this work. The design procedure in this paper aims at designing RBF neural network adaptive controllers that guarantee wind speed precise tracking. Moreover, the speed control problems are reduced to Lyapunov stability problem. In this way, by solving the stability Lyapunov functions, the feedback gains which guarantee global asymptotic stability and desired speed performance are determined. The results of numerical simulation showing the superiority of the proposed method than the existing result.

http://dx.doi.org/10.5755/j01.mech.17.5.736

Downloads

Published

2011-10-17

Issue

Vol. 17 No. 5 (2011)

Section

DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS