基于超螺旋滑模观测器的异步电机无传感器控制
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作者:
作者单位:

1.江苏师范大学电气工程及自动化学院;2.无锡信捷电气股份有限公司

作者简介:

通讯作者:

中图分类号:

TP273

基金项目:

国家自然科学基金项目(62173166), 徐州市基础研究计划项目(KC22053)


Sensorless control of asynchronous motor based on super-twisting sliding mode observer
Author:
Affiliation:

School of Electrical Engineering and Automation, Jiangsu Normal University.

Fund Project:

The National Natural Science Foundation of China(62173166), the Basic Research Program of Xuzhou(KC22053)

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    摘要:

    本文研究了基于超螺旋滑模算法的异步电机转子磁链观测问题.根据异步电机电流模型,设计了超螺旋算法下的转子磁链开环估计模型.为提高该模型对于转子电阻及外部扰动变化的鲁棒性,对观测器中电机参数的不确定部分进行估计.进一步地,将观测器得到的转子磁链引到定子电流估计方程中,得到闭环结构,提高了磁链观测精度和收敛速度.通过重构模型中待观测的中间变量,解决了传统观测器模型对于转子磁链求解时的积分漂移和初值误差问题.针对磁链与转子转速的耦合问题,通过处理扰动给出了系统稳定的充分条件.仿真和实验结果验证了本文算法的可行性和有效性.

    Abstract:

    This paper investigates the problem of rotor flux observation in asynchronous motor based on the Super-twisting sliding mode algorithm. According to the asynchronous motor current model, one designes the open-loop estimation model of rotor magnetic chain under the super-twisting algorithm. In order to improve the robustness of the model to rotor resistance and external perturbations, the uncertainty part of the motor parameters in the observer is estimated. Furthermore, the rotor chain obtained by the observer is introduced into the stator current estimation equation, a closed-loop structure is constructed to improve the accuracy and convergence speed of magnetic chain observations. By reconstructing the intermediate variables to be observed in the model, the problems of integral drift and initial value error are figured out on the traditional observer model for solving the rotor magnetic chain. For the coupling problem of magnetic chain and rotor speed, a sufficient condition for the stability of the system is given by dealing with the perturbation. Simulation and experimental results verify the feasibility and effectiveness of the algorithm in this paper.

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历史
  • 收稿日期:2024-04-07
  • 最后修改日期:2024-07-04
  • 录用日期:2024-07-06
  • 在线发布日期: 2024-08-01
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