Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - EEL6654
Tracking Number - 5133
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Current Status:
Approved by SCNS - 2015-10-01
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: For Electrical Eng - Elective. Repeat? Desc too long: LO missing. Emailed 2/10/15. Recd 7/28/15. Repeatable up to 3 times. GC Approved 8/28/15. To USF sys 8/28/15. To SCNS 9/7/15. Nmbr 6652 approved as 6654 effective 10/1/15
Detail Information
- Date & Time Submitted: 2014-11-03
- Department: Electrical Engineering
- College: EN
- Budget Account Number: 2106000
- Contact Person: Jessica Procko
- Phone: 8139746318
- Email: jprocko@usf.edu
- Prefix: EEL
- Number: 6654
- Full Title: Control Systems Engineering
- Credit Hours: 3
- Section Type: O -
Other
- Is the course title variable?: N
- Is a permit required for registration?: Y
- Are the credit hours variable?: N
- Is this course repeatable?: N
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Control Systems Engineering
- Course Online?: O -
Online (100% online)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites: EEL 4657
- Corequisites:
- Course Description: A course with emphasis on dynamic system modeling, design, analysis, and system verification following systems engineering approaches. The course introduces techniques, applications and trends from a trans/multi/inter/disciplinary perspectives.
- Please briefly explain why it is necessary and/or desirable to add this course: Replacing Selected Topics with Permanent number; already listed in program
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? Part of the core requirements for the MSEE-P program.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, 1 time
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Ph.D. in Electrical Engineering with emphasis on Control Theory
- Objectives: a. Introduce graduate students:
i. System modeling
ii. Design
iii. Analysis
iv. and system verification following systems engineering approaches.
b. Introduce students to techniques, applications and trends from a trans/multi/inter/disciplinary perspective in the field of control systems
- Learning Outcomes: Module 1 Learning Objectives
After this session, the student will be able to:
Define a control system and describe some applications
Describe historical developments leading to modern control theory
Describe the basic features and configurations of control systems
Describe Key Performance Indicators
Describe a control systems design process
Describe control systems analysis and design objectives
Describe the benefit and trends of control systems and its impact on Society
Module 2 - Part I: Learning Objectives
After this session, the student will be able to:
Define a control system and describe some applications
Describe historical developments leading to modern control theory
Describe the basic features and configurations of control systems
Describe Key Performance Indicators
Describe a control systems design process
Describe control systems analysis and design objectives
Describe the benefit and trends of control systems and its impact on Society
Module 2 - Part II: Learning Objectives
After this session, the student will be able to:
Find the Laplace transform of time functions and the inverse Laplace transform
Identify poles and zeros in a transfer function
Describe the General Second-Order System Transfer Function and its response type based on roots of the characteristic equation
Find the unit-step response for an under-damped general second order system
Analyze system response based on Key Performance Indicators and location of poles in the s-plane
Module 2 - Part III: Learning Objectives
After this session, the student will be able to:
Write a state-space representation, for a linear, time invariant system
Model electrical systems in state space
Transform from a state-space representation to a transfer function
Transform from a transfer function to state space
Be able to model using Graphical Programming dynamical systems represented by:
o Differential Equation
o Sate-variable description
o Transfer Function
Be able to model, analyze and verify state-variable system description using:
o MATLAB
o SIMULINK
Module 3: Learning Objectives
After this session, the student will be able to:
Find the steady-state error for a unity feedback system
Specify a systems steady-state error performance
Define a root locus and state the properties of a root locus
Find the coordinates of points on the root locus and their associated gains
Use the root locus to design a parameter value to meet a transient response
Design PID controllers to meet KPIs and steady-state error requirements
Design controllers using different PIDs techniques
Standard form (Placing two finite zeros and a pole at the origin)
o Ziegler Nichols
o Tyreus and Luyben
Design and analyze Kalman filter for state estimation
Controller design using pole placement via state feedback
- Major Topics: Introduction, history and trends of Control Systems
Scientific modeling, analysis and simulation of Control Systems
Controller design concepts
Control Systems applications with emphasis on modeling, design, analysis and verification from a trans/multi/inter/disciplinary perspective
Special Topics: adaptive control, intelligent control, remote control, other relevant topics.
- Textbooks: Chi-Tsong Chen, Linear System Theory and Design - 4th Edition, Oxford University Press, 2013
- Course Readings, Online Resources, and Other Purchases: Discussions (Participation).. 10%
Competency Checks 15%
Assignments (Solution & Verification) 30%
Project Proposal (By March 30th) 5%
Final Project 25%
Peer Project Review 15%
- Student Expectations/Requirements and Grading Policy: There will be weekly assignments for each content page within the modules. In order to receive a grade on assignments, all the problems must be done by hand and verified using a second method (simulation via MATLAB and/or Simulink) no grade will be assigned without a verification approach -Unless specified otherwise.
- Assignments, Exams and Tests:
- Attendance Policy: Course Attendance at First Class Meeting Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation Registration - 4.0101,
http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)
Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. Its the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.
- Policy on Make-up Work:
- Program This Course Supports: Electrical Engineering MSEE-P
- Course Concurrence Information:
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.