Cooperative body-brain coevolutionary synthesis of mechatronic systems

Jiachuan Wang, Zhun Fan, Janis P. Terpenny, Erik D. Goodman

Research output: Contribution to journalArticle

11 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)219-234
Number of pages16
JournalArtificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM
Volume22
Issue number3
DOIs
StatePublished - Aug 1 2008

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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