Cooperative body–brain coevolutionary synthesis of mechatronic systems

  • Authors:

  • Jiachuan Wang;Zhun Fan;Janis p. Terpenny;Erik d. Goodman

  • Affiliations:

  • Systems department, united technologies research center, east hartford, connecticut, usa;Department of mechanical engineering, technical university of denmark, lyngby, denmark;Department of engineering education, virginia polytechnic institute and state university, blacksburg, virginia, usa;Department of electrical and computer engineering, michigan state university, east lansing, michigan, usa

  • Venue:
  • Artificial Intelligence for Engineering Design, Analysis and Manufacturing
  • Year:
  • 2008

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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.