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MODELING METHODOLOGIES

Networked Assembly of Affine Physical System Models

[+] Author and Article Information
E. Motato

College of Engineering, Pontificia Universidad Javeriana, Cali, Colombiaemotato@puj.edu.co

C. Radcliffe

Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824-1229radcliff@msu.edu

J. Dyn. Sys., Meas., Control 132(6), 061203 (Oct 28, 2010) (9 pages) doi:10.1115/1.4002471 History: Received December 28, 2007; Revised March 28, 2010; Published October 28, 2010; Online October 28, 2010

Engineering design is evolving into a global strategy that distributes engineering effort to team members around the world. Because modern engineering design uses analytical models, model information must be distributed globally through computer networks. This strategy would be improved if component suppliers were able to efficiently provide dynamic models of supplied components. Furthermore, to use these component models, they must be efficiently assembled to obtain a dynamic model of a product using them. Four characteristics are needed to enable this distribution and assembly process. These characteristics are a unique standard model format, an exchange of model information through a single-query network transmission, external component models protecting proprietary internal design details, and, finally, a recursive assembly process. The modular model assembly method (MMAM) (Radcliffe, 2009, “Networked Assembly of Mechatronic Linear Physical System Models,” ASME J. Dyn. Syst., Meas., Control, 131, p. 021003) is a model assembly algorithm that satisfies these requirements. The MMAM algorithm assembles linear physical system models with dynamic stiffness matrices. In an affine system, deviations in the inputs and outputs exhibit a proportional relationship, but the outputs of the system are nonzero at zero input (Buck and Willcox, 1971, Calculus of Several Variables, Houghton Mifflin, Boston). One motivation for developing a process to assemble affine systems is the wide use of such models resulting from local linearization of general differentiable nonlinear physical system models about a nonzero, but constant, operating point. This paper provides the first general approach to the “operating point problem,” where the operating points of each individual component are solved as a function of the desired operating point of the model of an assembly of those components. The solution of this problem allows the assembly of linearized system models at any requested system operating point. This paper extends the MMAM to nonlinear affine system models. The MMAM uses internet agents to provide external models of components when requested by either users or other model agents. Assembly agents use the models provided by component agents to build an analytical model using models provided by component agents and assembly constraints within the assembly model agent. MMAM models are supplied in a standard form that allows an assembly agent to put together efficiently a model of the assembly that is also in the standard form. The process is recursive and facilitates hierarchical use of agents to efficiently build assemblies of assemblies to any level of complexity.

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Copyright © 2010 by American Society of Mechanical Engineers
Topics: Manufacturing
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Figures

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Figure 1

Global engineering design procedures

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Figure 2

Linearization yielding an affine system

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Figure 3

Physical view of a networked modeling system (3)

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Figure 4

Information flow between agents (3)

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Figure 5

Information flow for a two-level model assembly

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Figure 6

Unconstrained and assembly control volumes

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Figure 7

External view of a dc motor and an electric battery assembly requested by a user from an assembly agent

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Figure 8

Internal details of a dc motor and an electric battery assembly as assembled by the assembly agent

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