COURSE #: ChE 466

COURSE TITLE: Process Dynamics and Control

TERMS OFFERED: Fall

PREREQUISITES:

ChE 343 Separation Processes

ChE 344 Reaction Engineering and Design

TEXTBOOKS/REQUIRED MATERIAL: Coughanowr, Donald R., Process Systems Analysis and Control, 2nd ed., New York, McGraw Hill, 1991,

ISBN: 0-07-013212-7 (or alternative)

COGNIZANT FACULTY: Barkel, Montgomery, Solomon, Woolf, Ziff

 

INSTRUCTORS: Ziff

FACULTY APPROVAL: 4/27/09

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.  Statistical process control concepts.  

COURSE TOPICS:

1.  Piping and instrumental diagrams, sensors and valves

 2. Unsteady-state models of unit operations

 3. Control system instrumentation (4)

 4. Control architectures

 5. Control charts

COURSE STRUCTURE/SCHEDULE:  Lecture:  3 per week @ 1 hours

 

COURSE OBJECTIVES

 

Links shown in brackets are to course outcomes that satisfy these objectives.

1. To provide a conceptual and methodological framework for describing a process and its control system. [1-6]

2. To provide a conceptual and methodological framework for quantitatively analyzing and evaluating automatic control systems for chemical processes [3-7]

 

 

 

COURSE

OUTCOMES

 

 

Links shown in brackets are to program educational outcomes.

1. Draw piping and instrumentation diagrams following accepted standards and using appropriate symbols

2. Explain the operation of sensors and valves, including appropriate placement and linking.

3. Formulate unsteady state models for common unit operations, and solve the resulting differential equations using analytical and numerical methods.

4. Develop logical control programs

5. Explain the operation of P, I, D, and PID controllers, and be able to simulate them and tune them using classical methods.

6. Explain and implement feedback, feed forward, ratio, and cascade control architectures.

7. Develop control charts and evaluate them using probability distributions, including acceptance sampling.

 

ASSESSMENT TOOLS

 

1.  Home and class problems assess outcomes 1-7

2.  Exams assess outcomes 1-7

3.  End-of-term course evaluation provides student self-assessment of outcomes 1-7