基于自适应模糊神经网络的无轴承异步电机控制
杨泽斌， 汪明涛， 孙晓东 - 农业工程学报, 2014 - agrisci.cnjournals.com
针对无轴承异步电机多变量, 非线性, 强耦合等特点, 为实现其稳定悬浮控制,
提出了一种基于自适应模糊神经网络推理系统(adaptive neuro-fuzzy inference system, ANFIS) …
提出了一种基于自适应模糊神经网络推理系统(adaptive neuro-fuzzy inference system, ANFIS) …
Control system of bearingless induction motors based on adaptive neuro-fuzzy inference system
Z Yang, M Wang, X Sun - … of the Chinese Society of Agricultural …, 2014 - ingentaconnect.com
Bearingless induction motors, which were multivariable, were strongly coupled, along with a
higher order nonlinear system. To obtain the stable suspension control of a bearingless …
higher order nonlinear system. To obtain the stable suspension control of a bearingless …
[PDF][PDF] 基于高频脉冲注入的无轴承开关磁阻电机转子位置与径向位移检测方法
曹鑫， 孙琴， 赵贺， 邓智泉 - 电工技术学报, 2017 - dgjsxb.ces-transaction.com
摘要为提高无轴承开关磁阻电机(BSRM) 的集成度和运行可靠性, 探索无轴承电机的转子转角和
径向位移的自检测方法, 通过在BSRM 非导通相的主绕组中注入高频脉冲信号 …
径向位移的自检测方法, 通过在BSRM 非导通相的主绕组中注入高频脉冲信号 …
无轴承开关磁阻电机拓扑及解耦机理分析.
刘泽远， 邓智泉， 陈小元， 杨艳… - Journal of Nanjing …, 2016 - search.ebscohost.com
The bearingless switched reluctance motor (BSRM) is a complex system with some
character istics such as multi-controlling parameters, nonlinearity and high coupling. In order …
character istics such as multi-controlling parameters, nonlinearity and high coupling. In order …