Ship Power Station Excitation Control Based on Hybrid Intelligent Control Technology

摘要：

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.

作者: Zhipeng Shen Chen Guo Ning Zhang

作者单位: College of Automation and Electrical Engineering Dalian Maritime University Dalian, P.R.China 116026 Sino European Usability Center Dalian Maritime University Dalian, P.R.China 116026

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）