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Please use this identifier to cite or link to this item: http://hdl.handle.net/10155/1171

Issue Date:  4
Title: Towards computer-automated mechatronic design and optimization using linear graphs and evolutionary computing
Authors: McCormick, Eric
Publisher : University of Ontario Institute of Technology
Degree : Master of Applied Science (MASc)
Department : Mechanical Engineering
Supervisor : Lang, Haoxiang
Keywords: Linear Graph Modeling
Mechatronics
Automated Design
Genetic Programming
Genetic Algorithms
Abstract: A comparison of literature between the linear graph (LG) and bond graph (BG) approaches shows that the surpassing of BGs to LGs in applications related to the modeling of mechatronic systems is driven primarily by a lack of available LG-based software. As a result, a robust software toolbox called LGtheory has been developed for automating the evaluation of LG models in the MATLAB programming environment. This thesis details the development of LGtheory, and the algorithms and procedures employed for the evaluation of LG models. In addition, demonstrations of this toolbox to a process for automating the design of electronic filter circuits, as well as, the modeling and simulation of the dynamics of a mobile robotic system are presented. The results of these demonstrations validate the accuracy of the LGtheory toolbox for modeling complex multi-domain systems, and provides the methodological basis for the automated design of mechatronic systems using LGs.
Appears in Collections:Electronic Theses and Dissertations (Public)
Faculty of Engineering and Applied Science - Master Projects

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