Mixed-reality environment for frictional parameters identification in servo-pneumatic system

A. Saleem, C. B. Wong, J. Pu, P. R. Moore

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

This paper outlines a method to identify the friction parameters for servo-pneumatic systems using a mixed-reality environment. To acquire system friction parameters accurately can be extremely difficult once the servo-system has been assembled because of its highly nonlinear nature, which causes a great difficulty in servo-pneumatic system modelling and control. In this research, a mixed-reality environment has been employed to determine the friction parameters effectively and efficiently through online identification. Traditionally, friction parameters identification can be performed manually or automatically using traditional optimization methods or modern ones such as neural networks. The advantages of the proposed method are the high accuracy in the estimated parameters, its simplicity and its speed. An experimental case study has been conducted and the results showed the accuracy and effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1575-1586
Number of pages12
JournalSimulation Modelling Practice and Theory
Volume17
Issue number10
DOIs
Publication statusPublished - Nov 2009

Fingerprint

Mixed Reality
Servo System
Parameter Identification
Pneumatics
Friction
Identification (control systems)
Servomechanisms
System Modeling
Optimization Methods
Simplicity
High Accuracy
Neural Networks
Neural networks

Keywords

  • "Mixed-reality" environment
  • Component-based modelling
  • Friction parameters identification
  • PID control
  • Servo-pneumatic systems

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Modelling and Simulation

Cite this

Mixed-reality environment for frictional parameters identification in servo-pneumatic system. / Saleem, A.; Wong, C. B.; Pu, J.; Moore, P. R.

In: Simulation Modelling Practice and Theory, Vol. 17, No. 10, 11.2009, p. 1575-1586.

Research output: Contribution to journalArticle

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