|
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 |
|