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Sensorless control of the switched reluctance motor drive based on back EMF estimation.

机译：基于反电动势估计的开关磁阻电机驱动器的无传感器控制。

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摘要

Due to its several inherent advantages, the Switched Reluctance Motor (SRM) drive is considered an attractive candidate for variable speed motor drive applications.; Position information is essential for a high performance SRM drive. Mechanical position sensors are often used to provide rotor position information for the SRM drive. However, these mechanical position sensors add to the cost and dimension and lower the reliability of the SRM drive.; Several sensorless SRM control methods have been proposed. Most of these methods utilize the functional relationship between the stator flux linkage or phase inductance, phase current, and rotor position to estimate the rotor position. Depending on the way of phase flux linkage or inductance estimation, each of these published sensorless SRM control methods is suitable for a specific speed range. Furthermore, most of them suffer from computational complexity, need for huge memory space or extra hardware.; This dissertation proposes a novel sensorless control method to drive the Switched Reluctance Motor up to rated speed. The basis of the proposed sensorless control method is the estimation of the Back Electro Motive Force, BEMF. A novel approach to online estimation of the developed Back EMF is proposed. Then an analytical model of the phase incremental inductance is introduced. In order to commutate the motor phase at the right rotor position, the active phase incremental inductance is determined based on the estimated Back EMF, phase voltage and current and then it is compared to the desired threshold that is determined based on the model and desired commutation angles. In order to solve the ambiguity problem of the phase incremental inductance encoded position information, the incremental inductance of each phase is used for rotor position estimation only when it monotonically increases as the rotor moves from the unaligned position to the aligned position. In addition, a closed loop speed control system has been designed.; The proposed algorithm can be implemented on low cost processors like fixed-point Digital Signal Processors or micro-controllers and it does not need any extra circuitry. Furthermore, it benefits computational simplicity.; Simulation and experimental results are presented to verify the proposed sensorless control method. As the final step, several factors affecting the accuracy of the proposed sensorless control method are discussed.
机译：由于其固有的诸多优势，开关磁阻电机（SRM）驱动器被认为是变速电机驱动器应用的诱人候选。位置信息对于高性能SRM驱动器至关重要。机械位置传感器通常用于为SRM驱动器提供转子位置信息。但是，这些机械位置传感器增加了成本和尺寸，并降低了SRM驱动器的可靠性。已经提出了几种无传感器的SRM控制方法。这些方法中的大多数都利用定子磁链或相电感，相电流和转子位置之间的函数关系来估算转子位置。根据相通量链接或电感估计的方式，这些已发布的无传感器SRM控制方法均适用于特定速度范围。此外，它们中的大多数遭受计算复杂性，对巨大存储空间或额外硬件的需求。本文提出了一种新型的无传感器控制方法来驱动开关磁阻电机达到额定转速。提出的无传感器控制方法的基础是反电动势BEMF的估算。提出了一种在线估计已开发的反电动势的新方法。然后介绍了相位增量电感的解析模型。为了使电动机相位在正确的转子位置处换向，根据估计的反电动势，相电压和电流确定有功相位增量电感，然后将其与基于模型和所需换向确定的所需阈值进行比较角度。为了解决相位增量电感编码的位置信息的模糊性问题，仅当每相的增量电感随着转子从未对准位置移动到对准位置而单调增加时，才将其用于转子位置估计。另外，已经设计了闭环速度控制系统。所提出的算法可以在低成本处理器（如定点数字信号处理器或微控制器）上实现，并且不需要任何额外的电路。此外，它有利于计算的简化。仿真和实验结果被提出来验证所提出的无传感器控制方法。作为最后一步，讨论了影响所提出的无传感器控制方法精度的几个因素。

著录项

  • 作者

    Rajaei Salmasi, Farzad.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 126 p.
  • 总页数 126
  • 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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