Adaptive gain parabolic sliding mode filter augmented with vibration observer

Soe Lin Paing, Myo Thant Sin Aung, Ryo Kikuuwe

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

This paper presents a new sliding-mode-based noise filter for removing high frequency noise. It is based on Jin et al.'s (2012) parabolic sliding mode filter (J-PSMF). In the new filter, the gain of J-PSMF is adapted according to the level of noise in the input signal, which is defined by using Lecours et. al.'s (2016) vibration observer. Compared to both second-order linear low-pass filter (2-LPF) and J-PSMF, the new filter achieves better balance between noise mitigation and signal preservation. Due to implicit (backward) Euler discretization, the new filter does not suffer from chattering. The proposed filter was validated experimentally by using a DC servo motor equipped with an optical encoder. The proposed filter was implemented in a positioning system under PDD2 (proportional, derivative and second derivative) control and shown that both noise attenuation and non-overshooting response are achieved simultaneously.

本文言語英語
ホスト出版物のタイトル1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ602-607
ページ数6
ISBN(電子版)9781509021826
DOI
出版ステータス出版済み - 10 6 2017
イベント1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, 米国
継続期間: 8 27 20178 30 2017

出版物シリーズ

名前1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
2017-January

その他

その他1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Country米国
CityKohala Coast
Period8/27/178/30/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

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