CBEMS 135 Chemical Process Control (2012-2013)

CBEMS 135 Chemical Process Control

(Required for ChE.)
Catalog Data:

CBEMS 135 Chemical Process Control (Credit Units: 4) Dynamic responses and control of chemical process equipment, dynamic modeling of chemical processes, linear system analysis, analyses and design of feedback loops and advanced control systems. Prerequisite: CBEMS110; CBEMS120B or CBEMS125B-C. (Design units: 1)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0073397894.

Recommended Textbook:
None
References:

None.

Coordinator:
Hung Duc Nguyen
Relationship to Student Outcomes
This course relates to Student Outcomes: EAC a, EAC c, EAC e, EAC k.
Course Learning Outcomes. Students will:

1. Derive a process transfer function by writing balance equations. (EAC a, EAC e)

2. Be familiar with the experimental procedures to develop a process transfer function. (EAC a, EAC e)

3. Develop advanced control systems, including cascade, feedforward-feedback, and ratio control. (EAC a, EAC c, EAC e)

4. Tune various control loops. (EAC a, EAC c, EAC e)

5. Construct a block diagram for feedback control system. (EAC a, EAC c, EAC e)

6. Be familiar with the frequency response technique. (EAC a, EAC c, EAC e)

7. Write dynamic mass and energy balances. (EAC a, EAC e)

8. Be familiar with the controller tuning procedure of Ziegler-Nichols and Cohen & Coons. (EAC a, EAC c, EAC e)

9. Check stability of process control system. (EAC a, EAC c, EAC e)

10. Use Matlab to solve ordinary linear differential equation for PID controller design and model various process control systems. (EAC a, EAC e, EAC k)

Prerequisites by Topic

Chemical engineering calculations, Mass and energy balances, Momentum transfer, Heat and Mass Transfer, Reaction Engineering, Differential equations, Computer literacy and basic skills (Fortran, Matlab, C++, Basic, etc).

Lecture Topics:

Linear System Dynamics, Block Diagrams, Feedback Control, Process Identification, Stability (Routh Criterion, Root Rocus, Bode, Nyquist), PID Controllers and Tuning (Ziegler-Nichols, Cohen & Coon), Cascade Control, Feed forward and Ratio Control, Multivariable Control, Time delay Compensation, Model-based Control, Discrete time systems.

Class Schedule:

Meets for 4 hours of lecture each week for 10 weeks.

Computer Usage:

Computer literacy and basic skills (Fortran, Matlab, C++, Basic, etc) are required for solving ordinary linear differential equation for PID controller design.

Laboratory Projects:

None.

Professional Component

This course is designed to contribute to the students’ knowledge of engineering topics. The following considerations are included in this course: economic, environmental.

Design Content Description
Approach:

Two lectures on controller design and a computer project

Lectures: 100%
Laboratory Portion: 0%
Grading Criteria:
  • Homework: 20 %
  • Exam #1: 25 %
  • Exam #2: 25 %
  • Final Exam: 30%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 4.0 credit units

Engineering Science: 3.0 credit units

Engineering Design: 1.0 credit units

Prepared:
February 6, 2012
Senate Approved:
January 24, 2008
Approved Effective:
2008 Fall Qtr