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Modeling and Experimental Verification of PLC Codes in a Robotics and Mechatronics Course

Richard Chiou, Yongjin Kwon, Robin Kizirian, Matthew R. Dordai, Bret Davis

Year
2020
Citations
3

Abstract

Abstract AbstractWe have developed and implemented a discrete event simulation approach forintroducing Programmable Logic Controller (PLC) Codes to undergraduate and graduateindustrial and manufacturing engineering and technology students at Drexel University.Students learn the simulation methods necessary to support the modeling and verificationof automated processes in a Robotics and Mechatronics course. Experimental case studiesare derived from topics of interest to train manufacturing engineers for performing virtualsimulations on PLC modeling systems. The virtual design process is split into three mainsub-processes that are recommended to be performed in a hierarchical fashion. Thesedesign process structures include the Component 3D modeling stage, Logical I/Omodeling stage, and the Cell 3D modeling stage. Both the virtual and physical modelsprovide equivalent results. Course instruction is based on active learning. Tutorials andlaboratories assist students in comprehending the simulation methods. Courses are taughtwith the computer-aided simulation software, PLC Studio, so that the combination ofpassive and active learning can be adjusted as appropriate to class meetings.

Keywords

MechatronicsCourse (navigation)RoboticsArtificial intelligenceComputer scienceControl engineeringSoftware engineeringEngineeringRobot

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