- author = "Zhun Fan",
- title = "Design Automation of Mechatronic Systems",
- school = "Electrical and Computer Engineering, Michigan State University",
- year = "2004",
- address = "USA",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://search.proquest.com/docview/305157550",
-
URL = "http://www.worldcat.org/title/design-automation-of-mechatronic-systems-using-evolutionary-computation-and-bond-graph/oclc/060353062",
- broken = "https://www.msu.edu/~fanzhun/Zhun%27s%20Dissertation%20Research.htm",
- size = "132 pages",
-
abstract = "Design automation is a difficult task and has been
studied for some time by researchers. Most research is
quite successful in automating the parameters of a
given design topology. However, their limitation is
that they only accept fixed design topologies. Others
can design in topologically unconstrained space, but
are limited or specially tailored to a single physical
domain. The motivation of this research is two-fold.
First, we want to find a way to generate a population
of topologically open-ended design alternatives and
provide for the designer, in an automated manner, a
variety of satisfactory design candidates to choose
among and trade off. Second, we want our method to be
applicable not only in one physical domain, but in
multiple domains or a mixture of them, as is required
for design of mechatronic systems. To meet these ends,
the capability of genetic programming to search
automatically in an open-ended search space and the
strong capability of bond graphs to represent and model
mixed-domain systems are studied and ways to blend
their merits in one unified approach are investigated.
In our research, the BG/GP method, combining bond
graphs and genetic programming, has been developed to
automate the conceptual design process for general
multidisciplinary mechatronic systems.
Several design problems, in macro- and micro-domains, and in different physical domains, have been used as design examples to test the feasibility of the BG/GP approach. The analog electronic filter design problem shows the efficiency and effectiveness of the proposed approach. A vibration absorber design for a mechanical printer demonstrates that the approach can also be used for redesign and is very effective in exploring in an open-ended topology space and capable of providing designers with a variety of good design candidates for further analysis and tradeoff. A pneumatic air pump design shows how to bias design preference and implies the possibility and significance of extracting design heuristics in the evolutionary process. Finally, a MEM filter design problem shows that the BG/GP approach can be applied in a very general class of conceptual design problems with severe topology and/or parameter constraints. The results show that the BG/GP method is a powerful synergistic approach for automated, mixed-domain, and topologically open-ended design of mechatronic systems.
A structured and hierarchical design methodology for Micro-Electro-Mechanical-Systems (MEMS) is also studied. MEMS are actually micro-mechatronic systems. The research of hierarchical evolutionary synthesis of MEMS in this thesis includes the system-level behavioural synthesis and second-level layout synthesis of MEMS. Preliminary results show that automated synthesis of MEMS is a very promising research area.",
-
notes = "SF Project (DMI0084934) NSF Automated Synthesis of
Mechatronic Systems by Bond graph and Genetic
Programming
http://garage.cse.msu.edu/gpbg/index.htm
OCLC Number: 60353062. ProQuest 3146015. UMI Microform 3146015",
