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Nonlinear Signal-filtering Technique with Real-time Gain Booster for Feedback System Applications
IEEE Signal Processing Letters ( IF 3.9 ) Pub Date : 2020-01-01 , DOI: 10.1109/lsp.2020.3044132
Seok-Kyoon Kim , Ki-Chan Kim , Choon Ki Ahn

This letter devises a novel signal-filtering technique subject to the feedback structure without the exact source signal dynamics information. The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the disturbance rejection capability in the feedback structure; second, the closed-form filtering gain-boosting mechanism updating the gain into the direction of the filtering error reduction. It is experimentally confirmed that the proposed filter contributes to lowering the current regulation performance degradation level from the filtering performance improvement using a 500-W permanent-magnet synchronous motor driven by the three-phase inverter.

中文翻译:

用于反馈系统应用的带有实时增益增强器的非线性信号滤波技术

这封信设计了一种新颖的信号滤波技术,受反馈结构的影响,没有确切的源信号动态信息。该结果的主要思想由两部分组成:第一,结合Luenberger和扰动观测器设计技术,提高反馈结构中的抗扰能力;其次,闭式滤波增益提升机制将增益更新到滤波误差减少的方向。实验证实,所提出的滤波器有助于降低使用由三相逆变器驱动的 500 W 永磁同步电机的滤波性能改善的电流调节性能退化水平。
更新日期:2020-01-01
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