节点文献
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
【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.
【Key words】 switched reluctance motor; heuristic search algorithm; neural network model; torque/ampere ratio;
- 【文献出处】 电气传动 ,Electric Drive , 编辑部邮箱 ,2011年03期
- 【分类号】TM352
- 【被引频次】5
- 【下载频次】115