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Control Aspects for Energy-Efficient and Sensorless AC Motor Drives

机译:节能和无传感器交流电机驱动器的控制方面

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摘要

This research proposes control methods for improving the energy efficiency and stability of sensorless AC motor drives. The study focuses on induction motors (IMs) and synchronous reluctance motors (SyRMs). Loss-minimizing methods are developed for both IM and SyRM drives. The loss-minimizing control applies dynamic space-vector motor models which take into account hysteresis losses and eddy-current losses as well as the magnetic saturation. The minimum points of the loss function are numerically searched in order to calculate the efficiency-optimal control variable. Magnetic saturation effects can affect the energy optimization more significantly than core-loss parameters. Additionally, flux-angle and rotor-angle estimation methods in sensorless drives are also sensitive to inductance parameters. A saturation model was proposed for SyRMs using explicit power functions. The proposed model takes into account cross saturation and fulfills the reciprocity condition. In order to improve the stability of the sensorless IM drives, especially at low speeds, a gain scheduling method was proposed for a full-order flux observer. The observer gains are selected as functions of the rotor speed estimate in order to improve the damping and robustness of the closed-loop system. The observer is augmented with a stator-resistance adaptation scheme in the low-speed region. In high-speed applications with limited sampling frequency, dynamic performance of the discrete-time approximation of a continuous-time controller can dramatically decrease, and can, in the worst case, even become unstable. A discrete-time current controller was proposed for SyRMs. The current controller is designed based on the exact discrete-time motor model that includes the effects of the zero-order hold and delays. The dynamic performance and robustness are improved, especially at low sampling to fundamental frequency ratios.
机译:这项研究提出了用于提高无传感器交流电动机驱动器的能效和稳定性的控制方法。该研究集中在感应电动机(IM)和同步磁阻电动机(SyRM)。为IM和SyRM驱动器开发了最小化损耗的方法。损耗最小化控制应用动态空间矢量电动机模型,该模型考虑了磁滞损耗和涡流损耗以及磁饱和。对损失函数的最小值进行数字搜索,以计算效率最佳的控制变量。磁饱和效应比铁损参数对能量优化的影响更大。此外,无传感器驱动器中的磁通角和转子角估计方法对电感参数也很敏感。提出了使用显式幂函数的SyRM饱和模型。所提出的模型考虑了交叉饱和并满足互惠条件。为了提高无传感器IM驱动器的稳定性,特别是在低速情况下,提出了一种用于全阶通量观测器的增益调度方法。选择观察者增益作为转子速度估算的函数,以提高闭环系统的阻尼和鲁棒性。观察者在低速区域中采用了定子电阻匹配方案。在采样频率受限的高速应用中,连续时间控制器的离散时间逼近的动态性能会急剧下降,在最坏的情况下甚至可能变得不稳定。提出了一种用于SyRM的离散时间电流控制器。电流控制器是基于精确的离散时间电动机模型设计的,该模型包括零阶保持和延迟的影响。改善了动态性能和鲁棒性,尤其是在低采样率与基频比的情况下。

著录项

  • 作者

    Qu Zengcai;

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  • 年度 2015
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  • 正文语种 en
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