Technical Articles

Design Data Management in Model-Based Design

By Saurabh Mahapatra and Priyanka Gotika, MathWorks


Effective management of design data is key to harnessing the benefits of graphical modeling in Model-Based Design. Design data in the form of model parameters and simulation configuration settings is as important to the simulation as the algorithm itself. Together, they determine the form and range of the simulation outputs and internal states of the model. When developing large-scale system models, however, control engineers often focus more on graphical editing and layout than on design data management, leading to five key design issues: separation, logical partitioning, change detection, dependency analysis, and traceability.

This paper presents an approach to these issues using the Simulink data dictionary, a persistent repository of global design data used by a Simulink model. In addition, the paper offers a set of best practices that engineers can use to manage their data effectively within a team-based environment.

This paper was presented at the AIAA Modeling and Simulation Technologies Conference.

Read full paper.

Published 2015

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