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Analysis of Voltage Restrictions for Induction Motor with an Improved Energy-Efficient Control Algorithm

机译:改进型节能控制算法的感应电动机电压限制分析

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摘要

Most energy-efficient control algorithms impair the dynamics of the control system (CS). The most popular of these algorithms is the maximum torque per ampere (MPTA). The low power consumption of the electric drive is achieved by reducing the rotor flux linkage level. Improved algorithms help improve the dynamic performance of control systems without making them less efficient. The three considered possible approaches to ensuring the advanced dynamics of the control system are to sustain the current along the q axis, sustain the motor shaft torque value, and transform the torque command from a steplike function to a sloping straight. The procedure of estimating allowable stator currents with voltage constraints is presented, as well as its possible implementation in an improved energy-efficient control algorithm. The results allow using the suggested algorithm in the induction motor CS in systems with raised requirements on dynamics.
机译:大多数节能控制算法都会损害控制系统(CS)的动力学性能。这些算法中最流行的是最大每安培转矩(MPTA)。通过降低转子磁链的水平来实现电驱动器的低功耗。改进的算法有助于提高控制系统的动态性能,而不会降低其效率。确保控制系统高级动态的三种可能的方法是维持沿q轴的电流,维持电动机轴的扭矩值以及将扭矩命令从阶梯函数转换为倾斜直线。介绍了估算具有电压约束的允许定子电流的过程,以及在改进的节能控制算法中的可能实现方法。结果允许在对动力学有更高要求的系统中的感应电动机CS中使用建议的算法。

著录项

  • 来源
    《Russian electrical engineering》 |2019年第1期|21-24|共4页
  • 作者单位

    Department of Electronics and Nanosize Electronics Ogarev Mordovia State University;

    Research and Development Laboratory of Gate Electric Machines Institute of Electronics and Lighting Engineering Ogarev Mordovia State University;

    Department of Electronics and Nanosize Electronics Ogarev Mordovia State University|Research and Education Center Energy-efficient Double-Current Engines for Electric Drives and Vehicles Ogarev Mordovia State University;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    induction motor; simulation; MATLAB; current and voltage constraints;

    机译:感应电动机模拟;MATLAB;电流和电压约束;
  • 入库时间 2022-08-18 04:32:54

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