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基于神经网络的SRM角度优化控制策略研究

Research on the Control Strategy of the Optimal Angle of Switched Reluctance Motor Based on Neural Network

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【作者】 陈灵黄运生陈学

【Author】 CHEN Ling,HUANG Yun-sheng,CHEN Xue(School of Information Science and Engineering,Central South University,Changsha 410083,Hunan,China)

【机构】 中南大学信息科学与工程学院

【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)与最优关断角ooθfpft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:经神经网络优化的转矩/安培比要远大于未经优化下的情况,验证了此方法的有效性和优越性。

【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.

【基金】 中南大学研究生学位论文创新基金(2009ssxt188)
  • 【分类号】TM352
  • 【被引频次】5
  • 【下载频次】115
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