余潇,黄辉先

• 1:湘潭大学信息工程学院

摘要(Abstract)：

针对神经滑模控制系统中存在的对先验数据依赖性较强的问题,结合RBF神经网络的泛化能力和自学习能力以及模糊推理算法的强适应能力,提出基于模糊RBF神经网络的永磁同步电机分数阶速度控制系统。模糊推理的引入为神经网络的不确定性提供了有效的指导作用,同时,分数阶微积分算子的引入增加了传统滑模控制器的自由度,从而对该控制器进行了进一步的优化。仿真结果表明,相比RBF神经滑模控制器,提出的模糊RBF神经分数阶滑模控制器具有更好的控制性能。

关键词(KeyWords)： 永磁同步电机;滑模控制器;RBF神经网络;分数阶;模糊推理;自由度

Abstract:

Keywords:

基金项目(Foundation): 湖南省教育厅重点项目资助(12A136)~~

作者(Author): 余潇,黄辉先

DOI: 10.16652/j.issn.1004-373x.2018.11.020

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