Variable-Performance Nonlinear Feedback Filter Based on Dynamic Surface Stabilization Approach

Seok Kyoon Kim; Ki Chan Kim; Choon Ki Ahn

doi:10.1109/TMECH.2021.3124013

Variable-Performance Nonlinear Feedback Filter Based on Dynamic Surface Stabilization Approach

Seok Kyoon Kim, Ki Chan Kim, Choon Ki Ahn

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The proposed surface stabilization technique based filter feedbacks the filtering error with its nonlinear variable gain algorithm in order to recover the source signal information rejecting the high-frequency component (e.g., low-pass filtering), thereby guaranteeing closed-loop stability. Thus, resultant implementation is possible without signal dynamics information. The result provides two contributions: first, the improvement of the transient filtering performance through the closed-form feedback gain magnification mechanism and second, the recovery of the exponential filtering performance due to the surface stabilization mechanism, including the exponential convergent disturbance estimator originated from the nonlinear disturbance observer. The experimental results verify the effectiveness of the proposed technique, which improves the 500-W three-phase motor control performance.

Original language	English
Pages (from-to)	2721-2728
Number of pages	8
Journal	IEEE/ASME Transactions on Mechatronics
Volume	27
Issue number	5
DOIs	https://doi.org/10.1109/TMECH.2021.3124013
Publication status	Published - 2022 Oct 1

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant 2020M3H4A3106326, in part by the NRF grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2021R1C1C1004380, and in part by the NRF grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449.

Publisher Copyright:
© 1996-2012 IEEE.

Keywords

Feedback filtering
stability
surface stabilization
variable performance

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TMECH.2021.3124013

Cite this

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title = "Variable-Performance Nonlinear Feedback Filter Based on Dynamic Surface Stabilization Approach",

abstract = "The proposed surface stabilization technique based filter feedbacks the filtering error with its nonlinear variable gain algorithm in order to recover the source signal information rejecting the high-frequency component (e.g., low-pass filtering), thereby guaranteeing closed-loop stability. Thus, resultant implementation is possible without signal dynamics information. The result provides two contributions: first, the improvement of the transient filtering performance through the closed-form feedback gain magnification mechanism and second, the recovery of the exponential filtering performance due to the surface stabilization mechanism, including the exponential convergent disturbance estimator originated from the nonlinear disturbance observer. The experimental results verify the effectiveness of the proposed technique, which improves the 500-W three-phase motor control performance.",

keywords = "Feedback filtering, stability, surface stabilization, variable performance",

author = "Kim, {Seok Kyoon} and Kim, {Ki Chan} and Ahn, {Choon Ki}",

note = "Funding Information: This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant 2020M3H4A3106326, in part by the NRF grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2021R1C1C1004380, and in part by the NRF grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449. Publisher Copyright: {\textcopyright} 1996-2012 IEEE.",

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N2 - The proposed surface stabilization technique based filter feedbacks the filtering error with its nonlinear variable gain algorithm in order to recover the source signal information rejecting the high-frequency component (e.g., low-pass filtering), thereby guaranteeing closed-loop stability. Thus, resultant implementation is possible without signal dynamics information. The result provides two contributions: first, the improvement of the transient filtering performance through the closed-form feedback gain magnification mechanism and second, the recovery of the exponential filtering performance due to the surface stabilization mechanism, including the exponential convergent disturbance estimator originated from the nonlinear disturbance observer. The experimental results verify the effectiveness of the proposed technique, which improves the 500-W three-phase motor control performance.

AB - The proposed surface stabilization technique based filter feedbacks the filtering error with its nonlinear variable gain algorithm in order to recover the source signal information rejecting the high-frequency component (e.g., low-pass filtering), thereby guaranteeing closed-loop stability. Thus, resultant implementation is possible without signal dynamics information. The result provides two contributions: first, the improvement of the transient filtering performance through the closed-form feedback gain magnification mechanism and second, the recovery of the exponential filtering performance due to the surface stabilization mechanism, including the exponential convergent disturbance estimator originated from the nonlinear disturbance observer. The experimental results verify the effectiveness of the proposed technique, which improves the 500-W three-phase motor control performance.

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Variable-Performance Nonlinear Feedback Filter Based on Dynamic Surface Stabilization Approach

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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