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Cooperative body–brain coevolutionary synthesis of mechatronic systems

Published online by Cambridge University Press:  12 June 2008

Jiachuan Wang ,
Zhun Fan ,
Janis P. Terpenny  and
Erik D. Goodman
Jiachuan Wang
Affiliation:
Systems Department, United Technologies Research Center, East Hartford, Connecticut, USA
Zhun Fan
Affiliation:
Department of Mechanical Engineering, Technical University of Denmark, Lyngby, Denmark
Janis P. Terpenny
Affiliation:
Department of Engineering Education, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
Erik D. Goodman
Affiliation:
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
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Abstract

To support the concurrent design processes of mechatronic subsystems, unified mechatronics modeling and cooperative body–brain coevolutionary synthesis are developed. In this paper, both body-passive physical systems and brain-active control systems can be represented using the bond graph paradigm. Bond graphs are combined with genetic programming to evolve low-level building blocks into systems with high-level functionalities including both topological configurations and parameter settings. Design spaces of coadapted mechatronic subsystems are automatically explored in parallel for overall design optimality. A quarter-car suspension system case study is provided. Compared with conventional design methods, semiactive suspension designs with more creativity and flexibility are achieved through this approach.

Keywords

Bond GraphsCooperative Coevolutionary SynthesisGenetic ProgrammingMechatronics
Type
Research Article
Information
AI EDAM , Volume 22 , Issue 3 , August 2008 , pp. 219 - 234
Copyright
Copyright © Cambridge University Press 2008

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