Southern
Electrical Engineering Technology
ET 438A
Automatic Control Systems Technology
Textbook: Introduction to Control System Technology, 7th Ed., Robert N. Bateson.
Reference: Process Control Instrumentation
Technology, 5th
Ed. Curtis D. Johnson.
Matlab
Users Guide, Student Edition, Mathworks
Inc.
Instructor: Dr. Carl J.
Spezia PE
Office: Engineering D110
Phone: 453-7839
E-mail: powerguy@siu.edu
Links
Course Description and
Prerequisites
This course covers the
fundamental concepts and tools used to model and design continuous automatic
control systems. Mathematical models for
electric, hydraulic, and thermal process systems are examined. The Laplace transform, transfer function,
block diagram and signal flow graph are applied to the modeled systems to
determine the system response and design stable control systems. Computer implementations of graphical
analysis and design techniques are covered.
These methods include root locus, and frequency response methods. A laboratory demonstrates practical
applications of measurement and control.
Prerequisite: Engineering Technology 304b or concurrent
enrollment.
Course Content Overview
This course is an
introduction to the operation and design of continuous signal control
systems. Continuous signals are also
call analog signals. Analog signals are
continuous functions of time. Sampled,
also called digital, control uses signals that are a series of samples of
continuous signals. This course will
focus on the analog systems modeling and design.
The basic parts of an analog
control system will be identified.
Different methods for controlling a analog
control system will be examined. The
methods of representing physical systems as mathematical models will be
covered. Once a real system is modeled,
design techniques can be used to develop responsive, stable controls for the
actual system.
A continuous control system
uses some type of sensor to measure the process that requires control. This measurement is input to a controller
that decides the amount of corrective action, if any, that must be applied to
the process. The corrective action
signal is transmitted to an actuator.
This device causes the changes in process. The effective design of these types of
systems requires:
Measurement of the process
variables
A mathematical model of the
process
Selection and modeling of
the controller
Determining combined
controller and process response by using computer or analog electronic
simulation
Practical implementation of
the controller design
This course will cover the concepts and tools that make these designs
possible.
At the end
of this course, you will be able to:
1.) Identify the components of a typical
single-input single-output automatic control system.
2.)
Distinguish between an open-loop and a closed loop control system.
3.)
Use analog OP AMP circuits to scale linear sensor signals.
4.)
Develop and use mathematic models of simple mechanical, thermal, and
electrical systems.
5.)
Use a differential equation to model dynamic response in a simple
system.
6.)
Use the Laplace transform method to solve first and second order differential
equations.
7.)
Use transfer functions and signal flow block diagrams to represent
control systems.
8.)
Identify the three modes of analog control: proportional, derivative,
and integral and explain how each impacts system performance.
9.)
Develop analog circuits using OP AMP’s that realize the control modes
10.) Identify stability
conditions of an analog control system using the transfer function model
11.) Identify the stability
conditions of an analog control system using Bode plots.
12.) Use Nyquist
plots to determine control system stability
13.) Use the Routh-Hurwitz
Criteria to identify stable control system operation.
14.) Design negative feedback
control circuits for dc motor speed regulation using analog devices.
Grading Scale: 100-90% A
89-80% B
79-70% C
69-60% D
59-below F
Hour
Exams (3 at 100 points each) 50%
Final
Exam (200
points) 20%
Homework 10%
Laboratory Experiments/Activities 20%
--------------------
Total 100%
Course
Policies
1. Late Work and Makeup Exams
No make-up exams. All homework due at the beginning of the
period it is due. No Late homework. Late lab grades reduced by
5% per working day starting from due date.
2. Attendance
Policies
Class attendance is required and
attendance will be taken at the beginning of every period. Students are allowed four unexcused absences. Any further absences will reduce the TOTAL
grade by 5% per day absent.
Grade Calculation
3. The final grade is computed with five test
scores, (the final grade will count twice).
The highest four test grades will then be used to determine this part
(60%) of the grade.
Testing
4. All exams
are closed book and notes unless otherwise specified
Note: the
final exam is optional for all students that have a 90% or higher average on
the hour exams, homework, and experiment/activities
Assignment |
Chapter |
Problems |
1 |
1 |
1-5a,
1-5b, 1-15a-c |
2 |
1 |
1-27,
1-28,1-29 |
3 |
Johnson Handout |
1.1 hw1.wp5 |
4 |
Johnson Handout |
1.17,
1.24, 1.28 |
5 |
Johnson Handout |
1.33, op_hw1.wp5 |
6 |
Handout |
|
7 |
Handout |
|
8 |
Handout |
|
9 |
3 |
3.5, 3.6,
3.8 |
10 |
3 |
3.9d,
3.10a-d |
11 |
3 |
3.11a-c,
3.12a-c |
12 |
3 |
3.20d-e,
3.22a |
13 |
3 Handout |
3.28, hw38-5.wp5 |
14 |
4 |
4.1, 4.3,
4.5 |
15 |
Handout |
|
16 |
4 |
4.6a,b,d,g,i,m |
17 |
4 |
4.7a,c,e,g,j |
18 |
Handout |
hw38-6a.wp5 Problem 1 only |
19 |
Handout |
|
20 |
Handout |
|
21 |
Handout |
|
22 |
4 |
4.8, 4.9,
4.11, 4.15 |
23 |
4 |
4.16,
10.16, 4.21 |
24 |
Handout |
|
25 |
13 |
13.14,
13.18 |
26 |
13 |
13.20,
13.23, 13.34 Use Matlab |
27 |
13 |
13.30,
13.32 |
28 |
Handout |
|
29 |
Handout |
|
30 |
14 |
14.6,
14.26 |
31 |
Handout |
|
32 |
Handout |
|
33 |
14 |
14.27,
14.28, 14.31 |
34 |
15 |
15.6, 15.8 |
35 |
15 |
15.12 |
Clicking on the following links will allow you to down load Adobe
Acrobat files of the class lecture notes.
MATLAB
Tutorial Videos and Documents
Videos
Part 4: Control
Systems Applications
Part 5: Creating a DC motor Transfer Function
Part 6: Transfer Function Script File
Part 7: Plotting Transfer Function Responses
Documents
Downloads: Experiment and cover page format
Lab Grading and Attendance Policies
Laboratory Experiments
1.) Analog
Sensor Signal Conditioning
Use
analog OP AMP circuits to scale the output of a sensor to signal levels
commonly found in practical control systems.
To use OP AMP analog circuits to combine several simulated sensor inputs
according to a predefined input signal formula.
Produce an error signal using an OP AMP differential amplifier.
(3
periods)
2.) Proportional
Control Action
Construct
a proportional controller using OP AMP circuits and measure its steady state
and transient response. View the
response of a first order process to proportional control action.
(3 periods)
3.) Introduction to Control System Modeling with Matlab/Simulink
This
laboratory introduces the Matlab/Simulink
programming and numerical simulation software.
Learn how to generate frequency response and time plot common to control
systems analysis and design. These
include Bode plots and unit step response.
Create basic open loop and closed loop block diagram systems using Simulink and find their response using numerical methods
that plot the response as graphs.
(1
period)
MATLAB Tutorial Videos
Part 4: Control
Systems Applications
Part 5:
Creating a DC motor Transfer Function
Part 6: Transfer Function Script File
Part 7: Plotting Transfer Function Responses
4.) Modeling
Control Systems Using Matlab/Simulink
This
lab uses Matlab/Simulink
software to model an antenna positioning system. Students develop the transfer function blocks
from component parameters and construct the block diagram in Simulink. Observe
the results of step input changes and external disturbances on the control
performance using various types of control action.
(1
period)
Download
a Copy (Word format)
5.) Motor-Generator
Speed Control Using Proportional and Proportional/Integral Controllers
Design
and test a feedback control system that regulates the speed of a motor
generator system. A dc tachogenerator measures the speed of the motor-generator
system. Build a proportional controller
using OP AMPs to control the motor speed as the generator load changes. Design a proportional-integral controller
using OP AMPs. Compare the performance
of the two systems.
(4
periods)
Device Data Sheets
Follow
these links to see solutions for the course tests. To utilize this content you will need
speakers or headphones and a Flash Player plugin
installed in your browser. Download
now. Note these links may only be active
for a specified time period announced by the course instructor.
Exam
1 Solution
Exam
2 Solution
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