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Improvement approach on rotor time constant adaptation with optimum flux in IFOC for induction machines drives

机译:感应电机驱动中IFOC中具有最佳磁通量的转子时间常数自适应的改进方法

摘要

Induction machine models used for steady-state and transient analysis require machine parameters that are usually considered design parameters or data. The knowledge of induction machine parameters is very important for Indirect Field Oriented Control (IFOC). A mismatched set of parameters will degrade the response of speed and torque control. This paper presents an improvement approach on rotor time constant adaptation in IFOC for Induction Machines (IM). Our approach tends to improve the estimation accuracy of the fundamental model for flux estimation. Based on the reduced order of the IM model, the rotor fluxes and rotor time constant are estimated using only the stator currents and voltages. This reduced order model offers many advantages for real time identification parameters of the IM
机译:用于稳态和瞬态分析的感应电机模型需要通常被视为设计参数或数据的电机参数。感应电机参数的知识对于间接磁场定向控制(IFOC)非常重要。一组不匹配的参数将降低速度和转矩控制的响应。本文提出了一种针对感应电机(IM)的IFOC中转子时间常数自适应的改进方法。我们的方法趋于提高通量估计的基本模型的估计精度。根据IM模型的降阶,仅使用定子电流和电压估算转子磁通和转子时间常数。此降阶模型为IM的实时识别参数提供了许多优势

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