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Dynamics modeling and trajectory tracking control of a life support robot using sliding-mode control with extended state observer

  • Longfa Zhang (First Author)
  • , Huiyan Zhang
  • , Pengda Liu
  • , Zufeng Li
  • , Luis Ismael Minchala Ávila (Last Author)
  • , Wengang Ao (Corresponding Author)
  • Chongqing Technology and Business University
  • Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones Universidad de Cuenca

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper investigates the trajectory tracking control problem of a life support robot chassis under the slipping disturbances. First, a novel dynamics model for the robot chassis is proposed based on Lagrange equation. The constructed model incorporates the effects of rotational kinetic energy from the driving wheels, providing a more comprehensive representation of the chassis dynamics. Then, on the basis of the innovative framework, the dual-loop trajectory tracking control is derived for the chassis, via the kinematics-based backstepping controller and the dynamics-based sliding-mode controller. Moreover, an extended state observer is designed to reduce the influence caused by external disturbances. Finally, the effectiveness and superiority of the proposed tracking control approach are verified through simulation experiments.

Original languageEnglish
Article number107013
Pages (from-to)1-16
Number of pages16
JournalJournal of the Franklin Institute
Volume361
Issue number12
DOIs
StatePublished - Aug 2024
Externally publishedYes

Keywords

  • Backstepping
  • Extended state observer
  • Lagrange equation
  • Life support robots
  • Sliding-mode control

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