[1]杨冠鲁,李元杰.神经网络SNC无刷柴油发电机励磁控制器[J].华侨大学学报(自然科学版),2001,22(3):317-320.[doi:10.3969/j.issn.1000-5013.2001.03.021]
　Yang Guanlu,Li Yuanjie.Exciting Controller of Brushless Diesel Generator Based on BP Neural Network[J].Journal of Huaqiao University(Natural Science),2001,22(3):317-320.[doi:10.3969/j.issn.1000-5013.2001.03.021]
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神经网络SNC无刷柴油发电机励磁控制器()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第22卷
期数:
2001年第3期
页码:
317-320
栏目:
出版日期:
2001-07-20

文章信息/Info

Title:
Exciting Controller of Brushless Diesel Generator Based on BP Neural Network
文章编号:
1000-5013(2001)03-0317-04
作者:
杨冠鲁; 李元杰
华侨大学信息科学工程学院, 泉州362011
Author(s):
Yang Guanlu;  Li Yuanjie
College of Info. Sci. & Eng., Huaqiao Univ., 362011, Quanzhou
关键词:
柴油发电机;  BP神经网络;  最优控制;  励磁控制器
Keywords:
diesel generator;  BP neural network;  optimal control;  exciting controller
分类号:
TM31
DOI:
10.3969/j.issn.1000-5013.2001.03.021
摘要:
设计一种基于 BP神经网络的监督学习控制器 (SNC) .在线性最优励磁控制的基础上,利用 3层 BP神经网络对柴油发电机的控制过程进行监督学习 .通过对网络的训练,使得网络能够达到实时控制的目的 .仿真结果表明,所设计的 SNC在系统运行方式较大的变化范围内,都能提供很好的控制性能,并有较强的鲁棒性和适应能力
Abstract:
A type of supervisory and learning controller based on BP neural network is designed. On the basis of linear optimal exciting control, a three layered BP neural network is used for supervising and learning the controlling process of brushless diesel generator. This network can be trained to attain the objective of real time controlling. As shown by simulation results, the controller so designed is able to provide very good controlling performance over a range of fairly great change in system operation mode; and it has fairly good robustness and adaptability.

参考文献/References:

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备注/Memo

备注/Memo:
华侨大学自然科学基金资助项目
更新日期/Last Update: 2014-03-23