ChE 466: Process Dynamics and Control
Course #: CHE 466 (3 credits)
Course Title: Process Dynamics and Control
Terms Offered: Fall
Prerequisites: CHE 343: Separation Processes, CHE 344: Reaction Engineering and Design
Textbooks/Required Materials: Process Dynamics and Control, 4th edition, D. Seborg, D. Mellichamp, T. Edgar, F. Doyle (Wiley, 2016) ISBN: 978-1-119-28595-3
Instructor: Allman
Cognizant Faculty: Allman, Lin, Singh, Nikolla, Tadd
Faculty Approval: 2022-08-24
CoE Bulletin Description:
Introduction to process control in chemical engineering. Control architecture design, notation, and implementation. Mathematical modeling and analysis of open-loop and closed-loop process dynamics. Applications to the control of level, flow, heat exchangers, reactors, and elementary multivariable systems. Optimization and model predictive control.
Course Topics: (number of hours in parentheses)
- P&ID (Piping and Instrumentation Diagrams), sensors and valves (4)
- Analysis of unsteady-state models of unit operations (12)
- Analysis and tuning of feedback control systems (8)
- Feed-forward, Cascade, Ratio, and multivariable control strategies (6)
- Optimization and model predictive control(6)
- Economic, environmental, social, and safety objectives (4)
Course Structure/Schedule: Lecture: 2 per week @ 1.5 hours
Course Objectives: Links shown in brackets are to course outcomes that satisfy these objectives.
- Provide a conceptual and methodological framework for describing a process and its control system. [a-f]
- Provide a conceptual and methodological framework for quantitatively analyzing and evaluating automatic control systems for chemical processes [c-g]
Course Outcomes: Links shown in brackets are to ABET student outcomes 1-7.
A. Draw piping and instrumentation diagrams following accepted standards and using appropriate symbols [1,2].
B. Explain the operation of sensors and valves, including appropriate placement and linking [2].
C. Formulate unsteady state models for common unit operations, and solve the resulting differential equations using analytical and numerical methods [1].
D. Explain the operation of P, I, D, and PID controllers, and be able to simulate them and tune them using classical methods [1]
E. Explain and implement feedback, feed forward, ratio, and cascade control architectures [1].
F. Apply control strategies to address safety and environmental issues [2,4].
G. Formulate and solve optimization problems for model predictive control [1,2].
Assessment Tools: Links shown in brackets are to course outcomes.
- Homework and class problems [a-f]
- Biweekly quizzes [a-f]
- Final exam [a-g]
- End of semester project [c-g]