基于感应电机定子磁链U-N模型的速度自适应辨识方法

文中研究了基于异步电机定子磁链U-N模型的速度辨识问题。建立了基于异步电机Γ-型参数的状态方程,给出了基于U-N模型的定子磁链观测器;基于李雅普诺夫稳定性理论推出了速度自适应律,给出了基于这种全阶磁链观测器方案的模型参考自适应速度辨识方法。研究了异步电机无速度传感器的直接转矩控制方案,建立了此方案的Matlab仿真模型进行仿真分析;在搭建的牵引电机试验平台上进行了试验研究,并给出了Matlab数字仿真结果以及试验结果。仿真结果和试验结果表明辨识转速能够准确地跟踪实际转速,证明了基于定子磁链U-N模型的速度自适应辨识方法的有效性和实用性。

A Method of Speed Adaptive Estimation Based on Stator Flux U-N Model of IM

Deals with the problem of model reference adaptive speed estimation. The state equation of induction motor with F-type parameters was established and a flux observer was designed based on U-N model. The speed adaptive law was deduced by the theory of Lyapunov stability. A method of model reference adaptive speed estimation based on the full order flux observer was proposed and a scheme of induction motor direct torque control without speed sensor was studied. The Matlab simulation model of this scheme was established and analyzed. Also some experiments were implemented in the experimental device of traction motor. Finally, the Matlab simulation and experimental results were given. These simulation and experimental results show that the estimated speed can accurately track the actual speed. These prove the validity and practicability of the method of speed adaptive estimation based on stator flux U-N model proposed by this paper.