Self-adaptive high-frequency injection based sensorless control for IPMSM and SynRM

L. Alberti, Omar Bottesi, S. Calligaro, Piyush Kumar, R. Petrella
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引用次数: 5

Abstract

An auto-tuning and self-adaptation procedure for high-frequency injection (HFI) based position and speed estimation algorithms in IPMSM and SynRM drives is proposed in this paper. Analytical developments show that the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point due to saturation. On-line estimation and adaptation of the small-signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme, even without any a priori knowledge of the machine parameters. Interesting byproducts of this proposal are the possibility for on-line adaptation of the current controllers and of the injected voltage magnitude, leading to important advantages from the performance, loss and acoustic point-of-view. The theoretical basis of the method will be first introduced and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a standard industrial drive and two 2.2 kW prototype IPMSMs. Experimental test results demonstrate the feasibility and effectiveness of the proposal.
基于自适应高频注入的IPMSM和SynRM无传感器控制
针对IPMSM和SynRM驱动中基于高频注入(HFI)的位置和速度估计算法,提出了一种自调整和自适应方法。分析表明,高频跟踪回路的动态随电感的差异而变化,而电感的差异又取决于由于饱和而导致的机器工作点。在线估计和自适应环路的小信号增益在这里提出,允许精确的自整定的无传感器控制方案,即使没有任何先验知识的机器参数。这个提议的有趣的副产品是在线适应电流控制器和注入电压幅度的可能性,从性能、损耗和声学的角度来看,这带来了重要的优势。本文首先介绍了该方法的理论基础,并通过仿真验证了该方法的主要概念。使用标准工业驱动器和两个2.2 kW原型ipmms的硬件进行了实现。实验测试结果证明了该方案的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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