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Research Papers

Networked Assembly of Mechatronic Linear Physical System Models

[+] Author and Article Information
Clark J. Radcliffe

Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824radcliffe@egr.msu.edu

Eliot Motato

 Pontificia Universidad Javeriana, Cali, Colombiaemotato@puj.edu.co

Drew Reichenbach

Powertrain Attributes, Fuel Economy CAE, Ford Motor Company, Dearborn, MI 48121

J. Dyn. Sys., Meas., Control 131(2), 021003 (Feb 04, 2009) (10 pages) doi:10.1115/1.3072119 History: Received March 13, 2007; Revised October 24, 2008; Published February 04, 2009

Engineering design is evolving into a global activity. Globally distributed design requires efficient global distribution of models of dynamic physical systems through computer networks. These models must describe the external input-output behavior of the electrical, mechanical, fluid, and thermal dynamics of engineering systems. An efficient system model assembly method is then required to assemble these component system models into a model of a yet higher-level dynamic system. Done recursively, these higher-level system models become possible components for yet higher-level analytical models composed of external model equations in the same standardized format as that of the lowest level components. Real-time, automated exchange, and assembly of engineering dynamic models over a global network requires four characteristics. The models exchanged must have a unique standard format so that they can be exchanged and assembled by an automated process. The exchange of model information must be executed in a single-query transmission to minimize network load. The models must describe only external behavior to protect internal model details. Finally, the assembly process must be recursive so that the transfer and assembly processes do not change with the level of the model exchanged or assembled. This paper will introduce the modular modeling method (MMM), a modeling strategy that satisfies these requirements. The MMM distributes and assembles linear dynamic physical system models with a dynamic matrix representation. Using the MMM method, dynamic models of complex assemblies can be built and distributed while hiding the topology and characteristics of their dynamic subassemblies.

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Copyright © 2009 by American Society of Mechanical Engineers
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Figures

Grahic Jump Location
Figure 1

Physical view of a modeling networked system (9). The assembly agent provides assembly models using information provided by the two software agents representing components of the system. Network addresses are provided by the agent registry agent while permissible queries are provided by the query ontology agent.

Grahic Jump Location
Figure 2

Logical information flow view of a networked engineering system

Grahic Jump Location
Figure 3

Component (c) and assembly (a) control volumes

Grahic Jump Location
Figure 4

Example assembly of three components through five joins

Grahic Jump Location
Figure 5

Example assembly of a transmission and an electric generator

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