MEG 421 - Automatic Controls
|
2002
Catalog Data: |
MEG 421:
Automatic Controls. 3
Credits. Introduction to feedback
system concepts; mathematical modeling of mechanical, hydraulic, electromechanical
and servo systems; feedback system characteristics and performance;
stability; design and compensation of control systems. |
|
Prerequisites: |
EEG 291 and MAT 429, and
MEG 330. |
|
Textbook: |
Feedback
Control of Dynamic Systems |
|
|
|
|
Coordinator: |
Georg
F. Mauer, Professor of Mechanical Engineering. |
|
Goals: |
This course is designed to
provide advanced students in mechanical engineering with a solid background in
dynamic system modeling and analysis and to enable them to analyze and design
linear control systems. |
Prerequisites by Topic:
1. Circuits
II.
2.
Mathematics for Engineers.
3.
Analysis of Dynamic Systems
Topics:
1.
Introduction to control systems. (3
classes)
2.
2. Analytical modeling of mechanical and
electromechanical systems, revision of
3.
Sensitivity, errors, controller design,
performance. (6 classes)
4.
Stability: Routh-Hurwitz and root locus
methods, R.L. control loop design.(6 classes)
5.
Frequency response methods, polar and bode
plots. (6 classes)
6.
Nyquist criterion and controller design.
(5 classes)
7.
Time domain methods (state variable
analysis and state compensator design). (5 classes)
8.
Control system design and compensation,
case studies. (6 classes)
9.
Tests. (3 classes)
|
Computer
usage: |
Students
are expected use software tools such as VisSim or Matlab for control systems
design, problem solving and solution graphing. Each student is assigned a distinct,
individual feedback control design problem, which is incrementally developed
and solved in parallel with the science instruction. Approx. half of the
homework assignments can be solved and graphed using a computer. |
|
Laboratory projects: |
None |
|
Estimated ABET
Category Content: |
Engineering
Science: 2.0 credits or
67% Engineering Design: 1.0 credit or
33% |
MEG 421: Contribution
to Professional Component
This
course contributes to the “Professional Component” by developing analytical
problem solving skills and engineering design. Each student is required to
perform realistic control system design and analysis in individually assigned
projects. Students must submit five required reports as a condition of course
completion. The project constitutes a major portion of the student’s grade.
MEG 421: Relationship
to Program Objectives
This
course relates to Goal 1, Provide the mechanical
engineering graduate with technical capabilities, including:
1.a. A
fundamental knowledge of state-of-the-art and evolving areas associated with
the mechanical engineering field
1.c. The ability
to solve open-ended design problems
1.d.
An introductory knowledge of manufacturing and design methods
1.e.
The ability to use computers in solving engineering problems
1.f.
The ability to mathematically model and analyze engineering systems
The course also supports the objectives
of Goal 2, Prepare the mechanical engineering graduate to be effective in the
work place by:
2.a.
Training in the oral and written presentation of technical information
2.c.
Working on a team with peers
2.d.
Motivating the graduate to pursue life-long learning
The
course also supports the objectives of Goal 3: Instill a sense of
responsibility as a professional member of society including:
3.a.
A commitment to professional and ethical behavior in the workplace
3.c.
Recognition of the impact of engineering on local and global societies
Prepared by: Georg F. Mauer Date:
MEG 421L - Automatic Control Laboratory
Fall Semester 2002
|
1996
Catalog Data: |
Control system identification. Controller design, experimentation,
computer simulation, and analysis of position and speed control systems. Control systems performance
optimization. |
|
Prerequisites: |
Corequisite: MEG 421 or consent of the instructor. |
|
Textbook: |
Feedback
Control of Dynamic Systems |
|
|
|
|
Coordinator: |
Georg
F. Mauer, Professor of Mechanical Engineering. |
|
Goals: |
This course is designed to
accompany the controls course, providing mechanical engineering seniors with
practical experiences in feedback systems design, operation and digital
simulation. |
Prerequisites by Topic:
1. Automatic
controls
Laboratory projects:
1.
Introduction to control system simulations
(3 labs)
2.
Dynamic systems step response (DC Motor
and fluid flow systems)(2 labs)
3.
Time domain feedback system design (four
different experiments: DC Motor fluid flow system, fluid level, pneumatic
pressure) (4 labs)
4.
Linear Series compensator design, DC Motor
and fluid flow systems ( 2 labs)
5.
System Identification: Experimental
frequency response and step response methods
|
Computer
usage: |
All experiments are
conducted from PC’s equipped with real time process interface cards.
Experimental data are displayed on the monitor and stored in files. Stored
files are analyzed further using the Matrix-x software, and compared with
simulation results. Pre-lab assignments include computer-based control system
simulation and design, using Matrix-x software for root locus analysis and
design, frequency response analysis and time-domain analysis and design. Students are required to use software tools
such as Matrix-x or Matlab for control systems design, problem solving and
solution graphing. |
|
|
|
|
Estimated ABET
Category Content: |
Engineering
Science: 0.5 credits or 50% Engineering Design: 0.5 credits or 50% |
MEG 421L:
Contribution to Professional Component
This
course contributes to the “Professional Component” by developing experimental
and analytical problem solving skills and engineering design. Students perform realistic
control experiments on industrial equipment. Students must submit individually
reports on each lab as a condition of course completion.
MEG 421L:
Relationship to Program Objectives
This
course relates to Goal 1, Provide the mechanical
engineering graduate with technical capabilities, including:
1.a. A
fundamental knowledge of state-of-the-art and evolving areas associated with
the mechanical engineering field
1. b. The
ability to conduct experiments, analyze data, and
utilize statistical methods
1.e.
The ability to use computers in solving engineering problems
1.f.
The ability to mathematically model and analyze engineering systems
The course also supports the objectives
of Goal 2: Prepare the mechanical
engineering graduate to be effective in the work place by:
2.a.
Training in the oral and written presentation of technical information
2.c.
Working on a team with peers
2.d.
Motivating the graduate to pursue life-long learning
Prepared by: Georg
F. Mauer Date: