A DAI-based framework for the virtual prototyping of fluid power systems

S. C. Fok; G. L. Thimm; W. Xiang

doi:10.1115/IMECE2002-32468

A DAI-based framework for the virtual prototyping of fluid power systems

S. C. Fok, G. L. Thimm, W. Xiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a distributed artificial intelligence framework to address the co-ordination of interactions among the different standard virtual components during the virtual prototyping of fluid power systems. The approach considers the hydraulic system as a multi-agent system and associates each virtual hydraulic component to a domain agent. A control agent is used to co-ordinate the interactions in the multi-agent system. The representation of the proposed domain agents and the coordinated communication via the control agent are discussed in this paper. The paper also presents some details on the implementation of the proposed agent-based architecture and explains how agent communication and collaboration has been accomplished using Java and VRML.

Original language	English
Title of host publication	Manufacturing
Publisher	American Society of Mechanical Engineers(ASME)
Pages	65-70
Number of pages	6
ISBN (Print)	079183641X, 9780791836415
DOIs	https://doi.org/10.1115/IMECE2002-32468
Publication status	Published - 2002
Externally published	Yes

ASJC Scopus subject areas

Mechanical Engineering

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AB - This paper proposes a distributed artificial intelligence framework to address the co-ordination of interactions among the different standard virtual components during the virtual prototyping of fluid power systems. The approach considers the hydraulic system as a multi-agent system and associates each virtual hydraulic component to a domain agent. A control agent is used to co-ordinate the interactions in the multi-agent system. The representation of the proposed domain agents and the coordinated communication via the control agent are discussed in this paper. The paper also presents some details on the implementation of the proposed agent-based architecture and explains how agent communication and collaboration has been accomplished using Java and VRML.

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