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Parabolic Sliding Mode Filtering with Feed-Forward Compensation

  • Shanhai Jin
  • , Xiaodan Wang
  • , Yonggao Jin
  • , Xiaogang Xiong*
  • *Corresponding author for this work
  • Yanbian University
  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In motion control systems, feedback signals are often corrupted by noise because of environmental disturbances and measurement errors. Thus, filters are necessary to remove noise to obtain reliable signals. This paper proposes a new sliding mode filter that possesses a parabolic-shaped sliding surface. The proposed filter is an extension of a Jin et al.'s parabolic sliding mode filter by including feed-forward compensating terms for accelerating the tracking speed between the output and the input. Its discrete-time algorithm is developed by using the backward Euler discretization, and its discrete-time implementation does not produce chattering. A numerical example is executed for validating the effectiveness and advantage of the proposed filter.

Original languageEnglish
Title of host publication2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1799-1804
Number of pages6
ISBN (Electronic)9781538695821
DOIs
StatePublished - 18 Dec 2018
Externally publishedYes
Event15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore
Duration: 18 Nov 201821 Nov 2018

Publication series

Name2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/TerritorySingapore
CitySingapore
Period18/11/1821/11/18

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