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磁悬浮开关磁阻电机悬浮力与旋转力的神经网络逆解耦控制
  • 期刊名称:中国电机工程学报, 28(9):81-85, 2008
  • 时间:0
  • 分类:TP273[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]江苏大学电气信息工程学院,江苏省镇江市212013
  • 相关基金:国家自然科学基金项目(60774044).
  • 相关项目:磁悬浮开关磁阻电机的模糊神经逆控制及高速数字化技术
中文摘要:

为了实现磁悬浮开关磁阻电机径向二自由度悬浮力与旋转力三者之间的完全解耦,首先对系统的数学模型进行了可逆性分析,证明该系统在一定条件下可逆,在此基础上应用神经网络逆系统方法,将非线性、强耦合的多变量系统转变成3个彼此无耦合的伪线性子系统,最后应用线性系统控制原理和智能控制理论,对这3个子系统设计了闭环专家PID控制器。仿真结果表明,系统具有良好的动静态性能。

英文摘要:

In order to realize the purpose of the completely decoupling between the two-dimensional suspending force and torque of Bearingless Switched Reluctance Motors, the reversibility of the model is analyzed at first, and it is proved that the system is reversible in certain condition. Then a neural network inverse approach is applied to the nonlinear, strongly coupled system. So the nonlinear system is converted into 3 pseudo linear subsystems. And the two-dimensional suspending force and torque are decoupled. Finally using linear control principle and intelligent control theory, closed-loop expert-PID controllers are designed to these decoupled linear subsystems. To verify the effectiveness of the control scheme, some simulations were carried out and the results show satisfactory static and dynamic performances of the system.

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