0 or 3 credits
Fall 2026 Laboratory Lecture Upper Division
This course explores the devices, algorithms, architectures, and standards that support advanced process control in smart manufacturing. Core topics include the role of control systems in managing continuous processes, loop modeling, transfer functions, and the design, implementation, and tuning of proportional–integral–derivative (PID) controllers. Students also examine the integration of modern approaches, including machine learning and artificial intelligence, to enhance control strategies and optimize system performance. Laboratory activities provide hands-on experience in applying and tuning control methods with industry-grade hardware, bridging traditional process control with data-driven approaches.
Learning Outcomes1Explain the role of control systems in managing continuous industrial processes and the fundamental theory that underpins their operation.
2Apply control theory concepts and models using recognized industry standards, conventions, and symbology.
3Implement controller algorithms to improve the performance of single- and multi-loop control systems.
4Validate the selection of appropriate control architectures and hardware for process applications.
Prerequisites
made by Purdue students.