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基于神经网络的SRM角度优化控制策略研究
引用本文:陈灵,黄运生,陈学. 基于神经网络的SRM角度优化控制策略研究[J]. 电气传动, 2011, 41(3): 46-50
作者姓名:陈灵  黄运生  陈学
作者单位:中南大学,信息科学与工程学院,湖南,长沙,410083
基金项目:中南大学研究生学位论文创新基金
摘    要:以转矩/安培比最大作为优化指标,研究开关磁阻电机(SRM)开通关断角的优化问题.首先在分析获得最优关断角原理的基础上,提出了启发式搜索算法以寻求转速(n)和转矩(T)与最优关θ<'opt><,off>断角之间的映射关系,然后建立BP神经网络模型来表达这种关系,最后基于该模型设计了实验系统,实验结果表明:经神经网络优化的...

关 键 词:开关磁阻电机  启发式搜索算法  神经网络模型  转矩/安培比

Research on the Control Strategy of the Optimal Angle of Switched Reluctance Motor Based on Neural Network
CHEN Ling,HUANG Yun-sheng,CHEN Xue. Research on the Control Strategy of the Optimal Angle of Switched Reluctance Motor Based on Neural Network[J]. Electric Drive, 2011, 41(3): 46-50
Authors:CHEN Ling  HUANG Yun-sheng  CHEN Xue
Affiliation:CHEN Ling,HUANG Yun-sheng,CHEN Xue(School of Information Science and Engineering,Central South University,Changsha 410083,Hunan,China)
Abstract:The optimal issue on turn-on and turn-off angle of switched reluctance motor was researched with the maximum torque/ampere ratio as the optimal index.Firstly,on the basis of analyzing the principle of obtaining the optimal turn-off angle,put forward a heuristic search algorithm to look for the mapping relationship between speed(n) together with torque(T) and the optimal turn-off angle(θoptoff).Secondly,established BP neural network model to express this relationship.Finally,developed a experimental system based on the model,which shows that: the torque/ampere ratio optimized by neural network is much bigger than that of not optimized,thus verifies the feasibility and superiority of this method.
Keywords:switched reluctance motor  heuristic search algorithm  neural network model  torque/ampere ratio  
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