NDLI: An agent-based collaborative FEA system for the optimal design of electromagnets

Content Provider	IEEE Xplore Digital Library
Author	Wu Anbo Geng Yingsan Zhang Guogang Wang Jianhua
Copyright Year	2002
Description	Author affiliation: Sch. of Electr. Eng., Xi'an Jiaotong Univ., China (Wu Anbo; Geng Yingsan; Zhang Guogang; Wang Jianhua)
Abstract	To achieve the optimum design of an electromagnet, it is usually necessary to predict its static and dynamic characteristics. The finite element method (FEM) rather than lumped parameters is frequently adopted to calculate static characteristics. Generally, dynamic characteristics are calculated by iterations of many static characteristics derived from diverse excitation currents and strokes with the Runge-Kutta method, which costs much time. To use finite element analysis (FEA) codes to compute dynamic characteristics more efficiently, this paper proposes a collaborative FEA system (C-FEAS) for the optimal design of electromagnets based on multi-agent system technology. The C-FEAS can perform lots of static characteristics in several FEA hosts concurrently. A Contract Net protocol is used for multi-task allocation among multi-agents, each of which stands for one computational FEA host. A prototype is implemented using the Java Agent Development Framework (JADE) and ANSYS software.
Sponsorship	IEEE Power Eng. Soc. (IEEE PES) Chinese Soc. Electr. Eng. (CSEE) China Electric Power Res. Inst. IEEE/PES Beijing Chapter
Starting Page	2150
Ending Page	2154
File Size	448285
Page Count	5
File Format	PDF
ISBN	0780374592
DOI	10.1109/ICPST.2002.1047162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaboration Electromagnets Finite element methods Costs Electromagnetic analysis Multiagent systems Contracts Protocols Software prototyping Java
Content Type	Text
Resource Type	Article

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