Introduction to Modern Industrial Automation

This course covers industrial automation theory and practice in the modern industrial environment. It is designed to give students a thorough understanding of industrial automation control systems, including programmable logic controllers (PLCs), robot manipulators, sensors, motor drives, and industrial networks to achieve Industrial 4.0. Industrial Automation applications must be developed and demonstrated with modern, data-driven manufacturing systems that collaborate in real time. For instance, a PLC-controlled assembly, combined with data acquisition industrial communication, such as via OPC UA technology, and robotics, such as a robot manipulator adequately integrated into the IoT (Internet of Things). Through this collaboration, data can be released in the Core data model exchanged between systems and machines in different locations to provide new opportunities to increase productivity efficiently and cost-effectively. This course will provide the fundamental theory of modern industrial automation, including hands-on laboratory experience and a final course project.