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Improved Position Sensorless Piston Stroke Control Method for Linear Oscillatory Machine via an Hybrid Terminal Sliding-Mode Observer

  • Kaiju Liao
  • , Wei Xu*
  • , Lili Bai
  • , Yifan Gong
  • , Moustafa Magdi Ismail
  • , Ion Boldea
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Since the piston stroke of linear oscillation machine (LOM) is very important for the safe and reliable operation of the system, it is necessary to effectively control the piston stroke. Besides, considering that the use of position sensor will reduce the system reliability, so the accurate position sensorless method is needed to obtain the stroke signals. In this article, a hybrid terminal sliding-mode observer is designed by combing a second-order nonsingular terminal sliding mode (SNTSM) and a high-order sliding-mode (HOSM) to estimate the back-electromotive force signals of the LOM. The SNTSM surface is selected to ensure that the system state variables can converge in a finite time and the HOSM control law is designed by introducing a variable exponential reaching law, which can strengthen the stability of the observer and greatly reduce the sliding chattering. Since the piston stroke is calculated by integrating the estimated piston velocity, the pure integral saturation will occur due to the presence of dc components in the measured current and voltage. In order to cope with this problem, one self-adaptive band-pass filter is introduced to replace the pure integrator, which can obtain smooth stroke signals with almost no amplitude and phase offset. Moreover, the current amplitude controller is designed to improve the control accuracy and response speed. Finally, comprehensive simulation and experimental results are provided to verify the effectiveness and the superiority of the proposed method.

Original languageEnglish
Pages (from-to)14186-14197
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume37
Issue number12
DOIs
StatePublished - 1 Dec 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Current amplitude control
  • hybrid terminal sliding-mode observer (HTSMO)
  • linear oscillatory machine (LOM)
  • self-adaptive band-pass filter (SABPF)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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