Adaptive gain parabolic sliding mode filter augmented with vibration observer

Soe Lin Paing, Myo Thant Sin Aung, Ryo Kikuuwe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages602-607
Number of pages6
ISBN (Electronic)9781509021826
DOIs
Publication statusPublished - Oct 6 2017
Event1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
Duration: Aug 27 2017Aug 30 2017

Publication series

Name1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Volume2017-January

Other

Other1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
CountryUnited States
CityKohala Coast
Period8/27/178/30/17

    Fingerprint

All Science Journal Classification (ASJC) codes

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

Cite this

Paing, S. L., Aung, M. T. S., & Kikuuwe, R. (2017). Adaptive gain parabolic sliding mode filter augmented with vibration observer. In 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 (pp. 602-607). (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2017.8062528