CBE 4624
Transcript Abbreviation:
Process Control
Course Description:
Study of the dynamics and control of chemical processes; mathematical models of simple processes, including feedback control, are derived, analyzed, and simulated.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Required
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits:
3.00
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 2523 (523) or 3610 (610), and enrollment in CBE major; or Grad standing, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 624.
Course Goals / Objectives:
Be introduced to the modeling and analysis of the dynamic behavior of chemical processes
Be introduced to the basic theory and practice of automatic process control
Become familiar with the principles of single-loop feedback control and its design and analysis
Be introduced to improvements and modifications to single-loop feedback control
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| Introduction to Process Control, Control objectives and benefits | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Mathematical modeling, Dynamic modeling, linearization, Laplace transform | 5.0 | 0.0 | 0 | 0.0 | 0 |
| Transfer functions and block diagrams, Frequency response, Process dynamics. | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Process dynamics, Process dynamics, model identification, Empirical model identification | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Empirical model identification, Elements of feedback loop | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Block diagram, performance measures, variables selection, The PID algorithm | 5.0 | 0.0 | 0 | 0.0 | 0 |
| The PID algorithm, PID controller tuning, Stability of control systems | 5.0 | 0.0 | 0 | 0.0 | 0 |
| Bode stability analysis, Veterans Day (no class), Nyquist stability analysis | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Controller tuning methods, Review, Practical application of feedback control, control of non-linear processes | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Performance of control systems, Enhancements to single-loop PID control, introduction to digital control, Summary | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 43 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework, Projects (10) | 20% |
| Mini-Quizzes (2) | 10% |
| Exams (2) | 40% |
| Final Exam | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Process Control, McGraw-Hill, Second Edition, 2000 | T. E. Marlin |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
(N/A)
Embedded Literacies Info: