论文标题
改进的自适应SMO，用于使用Lyapunov定理以低频率进行传感器流动率感应电动机驱动器和稳定性分析的速度估算
An Improved Adaptive Smo for Speed Estimation of Sensorless Dsfoc Induction Motor Drives and Stability Analysis using Lyapunov Theorem at Low Frequencies
论文作者
论文摘要
在本文中，提出了改进的自适应滑动模式观察者（ASMO），将其用于无传感器的动力传感器感应电动机驱动器，并分析其稳定性。 ASMO用于估计转子速度，转子电阻，通量，定子和转子电流以及开发的电磁扭矩。在非常低的频率操作期间，自适应SMO的鲁棒性和准确性，滑动模式通量观察者（SMFO）将独立的加速作为矫正项使用。电流和转子通量SMO的收益是使用Lyapunov稳定性理论设计的，以确保估计变量的稳定性和快速收敛性。在本文中，集中于模拟块及其图，并在数学方法的帮助下进行了分析。同样，完成了结果与基本常规控制器的比较，结果证明，所提出的ASMO方法显示了自适应估计器的出色瞬态和稳态速度估计，尤其是在低频下。
In this paper, An Improved Adaptive Sliding Mode Observer (ASMO) is proposed to a Sensorless DSFOC Induction Motor Drives and their stability is analyzed. ASMO is used to estimate the Rotor Speed, Rotor Resistance, Flux, Stator and Rotor currents and the developed electromagnetic Torques.To improve the robustness and accuracy of an adaptive SMO during very low frequency operation, the sliding mode flux observer(SMFO) uses independent gains as the correction terms. The gains of current and rotor flux SMOs are designed using Lyapunov stability theory to guarantee the stability and fast convergence of the estimated variables. In this paper concentrated on Simulink Blocks and their graphs are analyzed with the help of mathematical approach. Also, comparison of results with the basic conventional controllers are done and the results proved that the proposed ASMO method shows excellent Transient and Steady state speed estimation by the Adaptive Estimators, particularly at low frequencies.
