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Extended Kalman Filter application in permanent magnet synchronous motor sensorless control.

机译:扩展的卡尔曼滤波器在永磁同步电动机无传感器控制中的应用。

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摘要

This thesis presents the modeling, analysis, design and experimental validation of a robust sensorless control method for permanent magnet synchronous motor (PMSM) based on Extended Kalman Filter (EKF) to accurately estimate speed and rotor position.;Currently, there is no robust position/speed sensorless control method available for the permanent magnet synchronous motor (PMSM) in the published literature. Traditionally, commercial off-the-shelf simulation models for PMSM do not incorporate initial rotor position and simplified steady-state based modeling of the associated power electronic circuitry and controls are used. These limitations have prevented the development and application of a robust real-time sensorless control method with good dynamic performance over the full speed range for the PMSM.;The Main focus of this thesis is to overcome these limitations. In particular, a detailed real-time PMSM model in MATLAB/Simulink simulation environment is developed which is used to validate the EKF sensorless control method by varying the initial position of the rotor. The proposed position/speed sensorless control based on EKF method along with all the power electronic circuitry are modeled in this simulation environment. This user-friendly simulation and rapid-prototyping platform is then effectively used to predict, analyse, fine-tune and validate proper operation of the proposed EKF sensorless control method for all operating conditions. In particular, different control strategies are reviewed and the performance of the proposed EKF sensorless control method is critically assessed and validated for different types of dynamic and static torque loads. The robustness of the proposed EKF sensorless method is demonstrated by validating proper operation of the closed-loop motor control system for different rotor initial positions and insensitivity of the EKF speed/position estimation method to the PMSM parameter variations. Proper operation of the proposed EKF based sensorless control method for a high speed permanent magnet synchronous machine is verified experimentally in the lab at Honeywell.
机译:本文提出了一种基于扩展卡尔曼滤波器(EKF)的永磁同步电动机(PMSM)鲁棒无传感器控制方法的建模,分析,设计和实验验证,该方法可精确估计速度和转子位置。公开文献中提供的用于永磁同步电动机(PMSM)的无速度传感器/速度无传感器控制方法。传统上,用于PMSM的商用现成的仿真模型不包含初始转子位置,而是使用相关电力电子电路和控件的简化的基于稳态的建模。这些局限性阻止了鲁棒的实时无传感器实时控制方法的开发和应用,该方法在PMSM的全速范围内具有良好的动态性能。本论文的主要重点是克服这些局限性。特别是,在MATLAB / Simulink仿真环境中开发了详细的实时PMSM模型,该模型用于通过改变转子的初始位置来验证EKF无传感器控制方法。在此仿真环境中,对基于EKF方法的拟议位置/速度无传感器控制以及所有电力电子电路进行了建模。然后,这个用户友好的仿真和快速原型设计平台可有效地用于预测,分析,微调和验证所提出的EKF无传感器控制方法在所有运行条件下的正确运行。特别是,对不同的控制策略进行了审查,并针对不同类型的动态和静态转矩负载,对所提出的EKF无传感器控制方法的性能进行了严格的评估和验证。通过验证闭环电机控制系统针对不同转子初始位置的正确运行以及EKF速度/位置估计方法对PMSM参数变化的不敏感性,证明了所提出的EKF无传感器方法的鲁棒性。在霍尼韦尔(中国)的实验室中,实验证明了所提出的基于EKF的高速永磁同步电机无传感器控制方法的正确运行。

著录项

  • 作者

    Qiu, Ming.;

  • 作者单位

    Ryerson University (Canada).;

  • 授予单位 Ryerson University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.A.Sc.
  • 年度 2003
  • 页码 132 p.
  • 总页数 132
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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