Instrumentation and Control

Lecture 3 hours/week
Laboratory 2 hours/week

Course Description
In this course we discuss single-input, single-output control systems using feedback. We begin covering the elements in the control loop, their selection, and implementation. Then we study logic programming and its implementation on PLCs. Later, we study and analyze the PID controller, its modes, tuning parameters, and operation characteristics. Then stability in the control loop is discussed, and problems solved using direct substitution and frequency response methods. Finally, we cover general aspects of advanced control strategies (selected).

COURSE LEARNING OUTCOMES ? SPECIFIC OUTCOMES OF INSTRUCTION
By the end of the course the student will be able to:
CO1. Identify and define the function of the constitutive elements of a control loop.
CO2. Describe and select instrumentation to measure temperature, flow, level, and pressure.
CO3. Size control valves for industrial process applications.
CO4. Characterize, model, select, and tune PID controllers for industrial processes.
CO5. Design ON/OFF control systems and implement them in PLCs.
CO6. Design simple PID Control loops defining appropriate variables and instrument locations.
CO7. Determine the effect of noise in a process or control loop signal by using frequency response analysis.
CO8. Calculate the stability limit for a controller given a process dynamic model, and infer the effect of changes in process or controller parameters in such limit.
CO9. Design and implement a control strategy to improve process performance (selected).

TOPICS TO BE COVERED

1. Introduction / System Dynamics
2. Control Loop Instrumentation
3. Feedback Control Design and Analysis
4. PID Controller Tuning
5. Control Loop Stability
6. Fuzzy Control

COURSE OBJECTIVES

• This course has the following objectives:
• To characterize and select sensor/transmitters, final control elements (valves), and controllers for the implementation of industrial control strategies.
• Identify the dynamic response of industrial processes, and to determine the impact that it has in the performance of industrial controllers.
• To implement and tune PID controllers in SISO control loops working in feedback configuration.
• Design ON/OFF control strategies and implement them using programmable logic controllers (PLCs).
• Analyze and establish the stability limit of a process-controller pair using PID controllers.

COURSE LEARNING OUTCOMES
By the end of the course the student will be able to:

1. Identify and define the function of the constitutive elements of a control loop.
2. Describe and select instrumentation to measure temperature, flow, level, and pressure.
3. Size control valves for industrial process applications.
4. Characterize, model, select, and tune PID controllers for industrial processes.
5. Design ON/OFF control systems and implement them in PLCs.
6. Determine the effect of noise in a process or control loop signal by using frequency response analysis.
7. Calculate the stability limit for a controller given a process dynamic model, and infer the effect of changes in process or controller parameters in such limit.
8. Design and implement a control strategy to improve process performance: 201230: Cascade Control.

SUBJECTS & REFERENCE
Introduction / System Dynamics TB Chapter 1
Control Loop Instrumentation TB Chapter 5
Feedback Control TB Chapter 6
PID Controller Tuning TB Chapter 7
Control Loop Stability TB Chapters 6, 8, 9
Cascade Control TB Chapter 10

Grading
Test 1 25%
Test 2 25%
Final 25%
Project 25%

Textbook
SMITH, C.A. and CORRIPIO, A.B. Principles and Practice of Automatic Process Control, 2nd Ed. John Wiley & Sons, Inc., 2007. (Required). Matlab Student Edition by Mathworks is advised.

Other supplemental material:
Any other process control textbook published after 2005. I recommend the books by Marlin, Shinskey, and Dorf & Bishop. Additionally, the coursework will require reading journal and conference papers. The more relevant journal titles are:

• ISA Transactions
• Journal of Process Control
• IEEE Control Systems Magazine