# CBEMS 135 Chemical Process Control (2015-2016)

#### CBEMS 135 Chemical Process Control

**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 and CBEMS125B-C. Chemical Engineering majors have first consideration for enrollment. (Design units: 1)

None.

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 e, EAC k)

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)

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).

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.

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

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

None.

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

Two lectures on controller design and a computer project

- Homework: 20 %
- Exam #1: 25 %
- Exam #2: 25 %
- Final Exam: 30%
- Total: 100%

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