无轴承异步电机悬浮系统的非线性滤波器自适应逆控制

Adaptive inverse control for levitation system of bearingless induction motors based on nonlinear filters

中文关键词  无轴承异步电机  悬浮系统  解耦控制  自适应滤波器  建模  自适应逆

英文关键词  bearingless induction motor  levitation system  decoupling control  adaptive filters  modeling  adaptive inverse control

中文摘要

      讨论了基于非线性自适应滤波器的无轴承异步电机(bearingless induction motor, BIM)悬浮系统自适应逆解 耦控制问题. 利用非线性自适应滤波器, 建立系统模型和逆模型. 复制逆模型, 将其串联在悬浮系统之前作为逆控 制器, 并采用改进的最小均方(least mean square, LMS)算法在线调整权值, 从而实现转子的悬浮控制. 相比于传统的 控制方法, 此方法不必依靠转矩系统来传递磁链信息, 从而避免了各自的控制策略之间的相互制约问题. 仿真结果 验证了该方法的有效性, 完成了系统模型和逆模型的建立, 并且能够实现两自由度径向悬浮力之间解耦.

英文摘要

      The adaptive inverse decoupling control based on nonlinear adaptive filter for levitation system of bearingless induction motor (BIM) is investigated. Nonlinear adaptive filters are used to build the model and the inverse model of the system. Based on the inverse model, the adaptive inverse controller which is cascaded in front of levitation system is designed by using the improved least mean square (LMS) algorithm to adjust the weighting factors online. Compared with the traditional control method, the flux information is not needed to be transferred with the torque control system. As a result, the mutual restriction between torque windings and levitation windings is avoided. Finally, we demonstrate the effectiveness of our proposed method with simulations. This method realizes not only the establishment of the system model and the inverse model, but also the decoupling control of levitation forces of two degrees of freedom.