Direct force control for human-machine system with friction compensation

Lie Yu, Jianbin Zheng, Yang Wang*, Enqi Zhan, Qiuzhi Song

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Purpose – The purpose of this paper is to present a direct force control which uses two closed-loop controller for one-degree-of-freedom human-machine system to synchronize the human position and machine position, and minimize the human-machine force. In addition, the friction is compensated to promote the performance of the human-machine system. Design/methodology/approach – The dynamic of the human-machine system is mathematically modeled. The control strategy is designed using two closed-loop controllers, including a PID controller and a PI controller. The frictions, which exist in the rotary joint and the hydraulic wall, are compensated separately using the Friedland’s observer and Dahl’s observer. Findings – When human-machine system moves at low velocity, there exists a significant amount of static friction that hinders the system movements. The simulation results show that the system gives a better performance in human-machine position synchronization and human-machine force minimization when the friction is compensated. Research limitations/implications – The acquired results are based on simulation not experiment. Originality/value – This paper is the first to apply the electrohydraulic servo systems to both actuate the human-machine system, and use the direct force control strategy consisting of two closed-loop controllers. It is also the first to compensate the friction both in the robot joint and hydraulic wall.

Original languageEnglish
Pages (from-to)760-771
Number of pages12
JournalKybernetes
Volume45
Issue number5
DOIs
Publication statusPublished - 3 May 2016

Keywords

  • Direct force control
  • Friedland observer and Dahl observer
  • Human-machine force minimization
  • Human-machine position synchronization
  • One-degree-of-freedom human-machine system

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