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Simplified fuzzy logic controller-based vector control of an interior permanent magnet motor.

机译:基于永磁电机的基于简化模糊逻辑控制器的矢量控制。

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摘要

In recent years, the interior permanent magnet synchronous motor (IPMSM) has become increasingly popular for use in high performance drive (HPD) applications due to desirable features such as high torque to current ratio, high power to weight ratio, high efficiency, low noise and robust operation. As a consequence, the control of the IPMSM for use in high precision industrial drives has received heightened attention. This proposed research is directed to develop and implement a complete and practical vector control scheme for the IPMSM to be used in such applications.;This thesis presents the control of the IPMSM at rated speed and below, in the constant torque mode, by use of the maximum torque per ampere (MTPA) mode of operation utilizing an innovative Taylor series approximated approach. Coupled with this method is the development of a simplified fuzzy logic controller (FLC) based speed controller that maintains high performance standards while reducing complexity and computational burden. The performance of this proposed technique is evaluated by simulation as well as by experimental results. A comparison is made, in simulation, between a more conventional FLC based control technique with id = 0 and the proposed simplified FLC with MTPA approach.;The complete vector control scheme is implemented in real-time using a digital signal processor (DSP) controller board in a laboratory 1 hp interior permanent magnet synchronous motor.
机译:近年来,内部永磁同步电动机(IPMSM)由于具有诸如高转矩/电流比,高功率/重量比,高效率,低噪音等理想特性,已越来越广泛地用于高性能驱动(HPD)应用中和强大的操作。结果,用于高精度工业驱动器的IPMSM的控制受到了越来越多的关注。这项拟议的研究旨在为IPMSM开发并实施一套完整而实用的矢量控制方案,以便在此类应用中使用。;本文提出了在恒定转矩模式下,通过使用采用创新的泰勒级数近似方法,可实现最大每安培转矩(MTPA)操作模式。与该方法结合的是基于速度控制器的简化模糊逻辑控制器(FLC)的开发,该控制器在保持高性能标准的同时降低了复杂性和计算负担。通过仿真以及实验结果评估了该提议技术的性能。在仿真中,将更传统的id = 0的基于FLC的控制技术与采用MTPA方法的简化FLC进行了比较。完整的矢量控制方案是使用数字信号处理器(DSP)控制器实时实现的实验室中的1 hp内部永磁同步电动机板上。

著录项

  • 作者

    Butt, Casey Benjamin.;

  • 作者单位

    Memorial University of Newfoundland (Canada).;

  • 授予单位 Memorial University of Newfoundland (Canada).;
  • 学科 Engineering Mechanical.;Artificial Intelligence.
  • 学位 M.Eng.
  • 年度 2003
  • 页码 153 p.
  • 总页数 153
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;人工智能理论;
  • 关键词

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