Abstract
In this paper, we present a framework that improves
a designer’s capability to determine near-optimal sizes of
components for a given system architecture. Component sizing
is a hard problem to solve because of competing objectives,
requirements from multiple disciplines, and the need for finding
a solution quickly for the architecture being considered. In
current approaches, designers rely on heuristics and iterate over
the multiple objectives and requirements until a satisfactory
solution is found. To improve on this state of practice, we
introduce advances in the following two areas: a) Formulating
a component sizing problem in a manner that is convenient
to designers and b) Solving the problem efficiently so that all
of the imposed requirements are satisfied simultaneously and
the solution obtained is mathematically optimal. An acausal,
algebraic, equation-based, declarative modeling approach using
mathematical programming (GAMS) is taken to solve these
problems more efficiently. In addition the Systems Modeling
Language (OMG SysMLTM) is used to formulate component
sizing problems to facilitate problem formulation, model reuse and the automatic generation of low-level code that can be
solved using GAMS and its solvers (BARON). This framework
is demonstrated by applying it to an example of a hydraulic log
splitter.
a designer’s capability to determine near-optimal sizes of
components for a given system architecture. Component sizing
is a hard problem to solve because of competing objectives,
requirements from multiple disciplines, and the need for finding
a solution quickly for the architecture being considered. In
current approaches, designers rely on heuristics and iterate over
the multiple objectives and requirements until a satisfactory
solution is found. To improve on this state of practice, we
introduce advances in the following two areas: a) Formulating
a component sizing problem in a manner that is convenient
to designers and b) Solving the problem efficiently so that all
of the imposed requirements are satisfied simultaneously and
the solution obtained is mathematically optimal. An acausal,
algebraic, equation-based, declarative modeling approach using
mathematical programming (GAMS) is taken to solve these
problems more efficiently. In addition the Systems Modeling
Language (OMG SysMLTM) is used to formulate component
sizing problems to facilitate problem formulation, model reuse and the automatic generation of low-level code that can be
solved using GAMS and its solvers (BARON). This framework
is demonstrated by applying it to an example of a hydraulic log
splitter.
| Original language | English |
|---|---|
| Publication status | Published - 2010 |
| Event | ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2010, August 15, 2010 - August 18, 2010 - Montreal, QC, Canada Duration: 1 Jan 2010 → … |
Conference
| Conference | ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2010, August 15, 2010 - August 18, 2010 |
|---|---|
| Country/Territory | Canada |
| City | Montreal, QC |
| Period | 1/01/10 → … |
Keywords
- MINLP
- CSP
- mixed integer nonlinear programming
- constraint satisfaction problems
- SysML
- model transformations
- Component sizing
- GAMS