Analysis of Speed Dependency for Feedforward Saliency Separation

E. R. Montero, M. Vogelsberger, T. Wolbank
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Abstract

Induction machine transient inductance often shows multiple saliencies that can be exploited for sensorless control. The resulting current slopes after an inverter-imposed voltage step can be arranged to form a saliency vector that contains the superposition of all machine saliencies. A crucial processing step is to separate motor saliencies during online operation. This is required in order to access a single saliency harmonic that is used as feedback in the control scheme. A robust saliency separation technique relies on an identification of all non-control machine saliency harmonics during a commissioning stage including their torque dependence. The stored saliencies are then feedforward compensated using the stored information. Yet, saliencies present a relevant speed dependency as well. This paper investigates the effects of the speed on the saliency amplitude and phase shift in the context of feedforward saliency separation, and provides a speed adaption method for accurate saliency compensation. To prove the saliency speed-dependency and performance of the proposed speed adaption method, experimental results taken on an induction machine are provided.
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前馈显著性分离的速度依赖性分析
感应电机的瞬态电感通常表现出多重显著性,可用于无传感器控制。在逆变器施加的电压阶跃之后产生的电流斜率可以被安排成形成包含所有机器显著性的叠加的显著性向量。一个关键的处理步骤是在在线操作中分离运动显著性。这是为了获得在控制方案中用作反馈的单个显着谐波所必需的。一种鲁棒的显著性分离技术依赖于调试阶段所有非控制机器显著性谐波的识别,包括它们的转矩依赖性。然后使用存储的信息对存储的显著性进行前馈补偿。然而,显著性也表现出相关的速度依赖性。研究了前馈显著性分离中速度对显著性幅值和相移的影响,提出了一种精确的显著性补偿速度自适应方法。为了证明所提出的速度自适应方法的显著速度依赖性和性能,给出了在感应电机上的实验结果。
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