Exploring Open-Ended Design Space of Mechatronic Systems

Zhun Fan, J. Wang, E. Goodman

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

To realize design automation of mechatronic systems, there are two major issues to be dealt with: open-topology generation of mechatronic systems and simulation or analysis of those models. For the first issue, we exploit the strong topology exploration capability of genetic programming to create and evolve structures representing mechatronic systems. With the help of ERCs (ephemeral random constants) in genetic programming, we can also evolve the sizing of mechatronic system components along with the structures. The second issue, simulation and analysis of those system models, is made more complex when they represent mixed-energy-domain systems. We take advantage of bond graphs as a tool for multi- or mixed-domain modeling and simulation of mechatronic systems. Because there are many considerations in mechatronic system design that are not completely captured by a bond graph, we would like to generate multiple solutions, allowing the designer more latitude in choosing a model to implement. The approach in this paper is capable of providing a variety of design choices to the designer for further analysis, comparison and trade-off. The approach is shown to be efficient and effective in an example of open-ended real-world mechatronic system design application, a typewriter re-design problem.
Original languageEnglish
JournalInternational Journal of Advanced Robotic Systems
Volume1
Issue number4
Pages (from-to)295-302
ISSN1729-8806
Publication statusPublished - 2004

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