Paper Title:
A Hybrid Intelligent Excitation Control for Ship Power Station
  Abstract

Hybrid intelligent control technique is used for ship power station synchronous generator excitation control in this paper. The parameters and structure of the excitation controller are learned and adjusted through a hybrid learning algorithm combining self-organizing learning with BP learning. This algorithm converges much faster than original BP learning. Simulation results show that the synchronous generator excitation controller based on the learning algorithm can significantly stabilize terminal voltage.

  Info
Periodical
Chapter
Chapter 4: Fault Diagnose and Electronmechanical Control
Edited by
Zhixiang Hou
Pages
780-783
DOI
10.4028/www.scientific.net/AMM.128-129.780
Citation
Z. P. Shen, C. Guo, Y. T. Wang, "A Hybrid Intelligent Excitation Control for Ship Power Station", Applied Mechanics and Materials, Vols. 128-129, pp. 780-783, 2012
Online since
October 2011
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Price
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