Date of Award
Thesis - Restricted
Master of Science (MS)
Craig, Kevin C.
Nagurka, Mark L.
Voglewede, Phillip A.
Mechatronics is defined as the synergistic integration of physical systems, electronics, controls, and computers through the design process, from the very start of the design process, thus enabling complex decision making. This definition reveals the elements involved yet it eludes to the complexity and the constant balance of tradeoffs which are prevalent in the context of applying Mechatronics to a successful design process. This work pursues the use of various tools for the application of Mechatronics to the modeling and design of a servo motor driven motion system.
The use of Mechatronics is pervasive in and among today's highly integrated devices and systems. By virtue of the fact that the phrase "Mechatronics" may carry different meaning depending upon ones discipline or industry, the most general definition is sought and embodied within the work. An overview of the relevant discipline specific perspectives is offered; as sufficient background for the systems modeling and analysis presented. In the course of developing and applying a Mechatronics design process for servo motor actuated motion systems, the use of frequency response analysis and alternative modeling techniques is emphasized, not only as a tool for understanding and applying the matter but, also for the purposes of model verification. These efforts culminate in the design and testing of a physical realization of one of the models presented; the servo motor actuated compliant belt system with compliance and friction.
The results of this work underscore the notion that using a Mechatronics design process while devising a servo motor driven motion system enables optimization and functionality not otherwise realizable. These results are supported with experimental verification and comparison. The implications of this work are threefold: the work equips the Mechatronics practitioner with the tools required for verification of the results of modeling and analysis, the work provides an upgrade to the tools and equipment available in the College of Engineering at Marquette University, and the work will likely inspire additional related projects.