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首页> 外文期刊>IEEE Transactions on Energy Conversion >A Current Control Scheme With an Adaptive Internal Model for Torque Ripple Minimization and Robust Current Regulation in PMSM Drive Systems
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A Current Control Scheme With an Adaptive Internal Model for Torque Ripple Minimization and Robust Current Regulation in PMSM Drive Systems

机译：具有自适应内部模型的电流控制方案，用于PMSM驱动系统中的转矩纹波最小化和鲁棒电流调节

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摘要

This paper addresses the problem of uncertainties in practical permanent magnet synchronous motors (PMSMs), and proposes a simple adaptive internal model within the current feedback and reference current generation structure as a solution. Due to the time varying nature and the high-bandwidth property of uncertainties in a practical PMSM drive system, the internal model is simply chosen as the estimated uncertainty function. To provide a high bandwidth estimate of the uncertainty function with high-noise immunity, a simple adaptation law is derived, in the sense of Lyapunov functions, using the nominal current dynamics. The inclusion of the frequency modes of the disturbances to be eliminated (the flux harmonics and voltage disturbances caused by parameter variation) in the stable closed-loop system introduces very high-attenuation at different frequency modes corresponding to uncertainty modes. Therefore, a robust torque ripple minimization and current regulation performances are yielded. To properly tune the proposed scheme, a stability analysis based on a discrete-time Lyapunov function has been used to determine the stability limits of the adaptation gain. Comparative evaluation results are presented to demonstrate the effectiveness of the proposed control scheme under different operating conditions.
机译：本文解决了实际永磁同步电动机（PMSM）的不确定性问题，并提出了一种在电流反馈和参考电流产生结构内的简单自适应内部模型作为解决方案。由于在实际的PMSM驱动系统中不确定性具有时变性和高带宽特性，因此仅选择内部模型作为估计的不确定性函数。为了提供具有高抗噪性的不确定性函数的高带宽估计，使用标称电流动态特性，从Lyapunov函数的意义上推导了一种简单的自适应定律。在稳定的闭环系统中包含要消除的干扰的频率模式（由参数变化引起的磁通谐波和电压干扰）会在与不确定性模式相对应的不同频率模式下产生很高的衰减。因此，产生了鲁棒的转矩脉动最小化和电流调节性能。为了适当地调整提出的方案，已使用基于离散时间Lyapunov函数的稳定性分析来确定自适应增益的稳定性极限。提出了比较评估结果，以证明所提出的控制方案在不同操作条件下的有效性。

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