Design and Implementation of a Robust Current-Control Scheme for a PMSM Vector Drive With a Simple Adaptive Disturbance Observer
Design and Implementation of a Robust Current-Control Scheme for a PMSM Vector Drive With a Simple Adaptive Disturbance Observer
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DOI：
10.1109/tie.2007.895074
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发表时间：
2007-07
影响因子：
7.7
通讯作者：
Y. Mohamed
中科院分区：
文献类型：
--
作者：
Y. Mohamed
本文引入了一种具有简单自适应干扰观察者的永久性同步电动机（PMSM）的强大电流控制方案。强大的控制器是通过使用前馈控制在参考电压产生阶段中加入自适应元件来实现的。由于实用PMSM驱动系统中不确定性的时间变化性质和高带宽属性，因此自适应元件被简单地选择为估计的不确定性功能，该功能随着不同的操作条件而自适应地变化。随后，不确定性函数的频率模式嵌入到控制工作中，并产生强大的电流控制性能。此外，估计的不确定性函数的包含为PMSM驱动器中的扭矩 - 透气最小化提供了有效的解决方案。这是因为要消除的干扰的频率模式，即通量谐波，包括在稳定的闭环系统中。为了提供不确定性函数的高带宽估计值，使用标称电流动力学和最陡峭的下降方法得出了简单的适应定律。为了确保系统的收敛性并正确调整所提出的观察者，已经使用了基于离散时间Lyapunov函数的稳定性分析。提出了比较评估实验，以证明在不同的工作条件下提出的控制方案的有效性。
This paper introduces a robust current-control scheme for a permanent-magnet synchronous motor (PMSM) with a simple adaptive disturbance observer. The robust controller is realized by including an adaptive element in the reference-voltage-generation stage using the feedforward control. Due to the time-varying nature and the high-bandwidth property of the uncertainties in a practical PMSM drive system, the adaptive element is simply chosen as the estimated uncertainty function, which adaptively varies with different operating conditions. Subsequently, the frequency modes of the uncertainty function are embedded in the control effort, and a robust current-control performance is yielded. Furthermore, the inclusion of the estimated uncertainty function provides an efficient solution for torque-ripple minimization in PMSM drives. This is because the frequency modes of the disturbances to be eliminated, i.e., the flux harmonics, are included in the stable closed-loop system. To provide a high-bandwidth estimate of the uncertainty function, a simple adaptation law is derived using the nominal current dynamics and the steepest descent method. To guarantee the system's convergence and to properly tune the proposed observer, a stability analysis based on a discrete-time Lyapunov function has been used. Comparative evaluation experiments are presented to demonstrate the effectiveness of the proposed control scheme under different operating conditions.