Benha University
Faculty of Engineering
Course Specifications of:
Modern control systems(MET 506)
Program(s) on which the course is given: Diploma in Industrial Processes Control
Compulsory or Elective element of program:Elective
Department offering the program: Mechanical Engineering
Academic year / Level:
year/ 2014/2015
Date of specification approval:2012
A. Basic Information
Title: modern control systems
Credit Hours:3
Tutorial:
Practical:
Code: MET 506
Lecture: 3
Total:3
B- Professional Information
1. Overall aims of course
This course introduces students to:
 Expose students to the methods of control engineering that emerged in the field during the
past 5 decades.
 Build large scale and complex systems, this course prepares the student to take up such
challenges in his profession.
 Understand classical automatic control
 Identify classical controllers and their performance
 Solve by state space representation for physical systems
 Understand solution of state equation and optimalcontrol
2. Intended learning outcomes of course (ILOs)
By completion of the course, the student should be able to:
2.1 Knowledge and understanding
2.1.3 Describe principles and fundamentals of quality in professional practice in the area of
industrial processes control.
2.1.4 Explain the effect of professional practice on the environment and work towards its
conservation and maintenance.
2.1.5 Demonstrate methodologies and computer tools available for analysis and design of
mechanical engineering systems;
2.2 Intellectual skills
2.2.1 Discern and analyze the problems in the area of industrial process control and categorize
them according to their priority.
2.2.4 Assess the risks and hazards in professional practices.
2.2.5 Make professional decisions in the light of available information.
2.2.6 Evaluate data sources and make sound judgments in the absence of complete data;
2.3 Professional and practical skills
2.3.1 Apply professional skills in the area of industrial processes control.
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Benha University
Faculty of Engineering
2.3.2 Prepare professional reports.
2.4 General and transferable skills
2.4.3 Assess him/her-self and identify his/her own personal learning needs.
2.4.5 Work in a group and manage time effectively.
2.4.6 Lead a team in familiar professional contexts.
2.4.7 Conduct self-learning and continuous education practices.
3. Contents
No of
weeks
1
2
3
4
5
6
7
8
9
10
2
Topic
Introduction to modern
control engineering, types
of system models
Control system
representation in time
domain
Time domain control
system analysis
Time equation solution for
control system and finding
the system variables
Examples, building blocks
of state space models,
canonical forms, State
equation andits solution,
properties of the state
transition matrix
Special cases, modelling
discrete-time systems with
delay operators.
Design of different control
systems using the method of
rearranging of roots method,
using optimum control
methods, adjustable
control.(1/2)
Design of different control
systems using the method of
rearranging of roots method,
using optimum control
methods, adjustable
control.(2/2)
Proportional–integral–
No. of
hours
Teaching / learning
methods and strategies
Assessment
method
3
Lecture,Class activity
-
3
Lecture./Assign, case
study
Assignment 1
3
Lecture, Class activity
Assignment 1
3
Lecture,Class activity
Assignment 2
3
Lecture/Assign.
Assignment 2,
Quiz
3
Lecture,Class activity
Assignment 3
3
Lecture,Class activity
Assignment 3,
Quiz
Midterm exam
3
Lecture/Assign.
3
Lecture, Class activity
Assignment 4
Assignment 4, ,
Benha University
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12
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Faculty of Engineering
derivative'controller''(PID)
Stability: Modelling energy
of the system in terms of
quadratic functions,
Lyapunov’s criterionfor
continuous- and discretetime systems, Numerical
methods for solving
theLyapunov equation,
Computational complexity.
Controllability &
Observability
Definitions, Rank tests,
Computational methods of
determining rank,
Computationalcomplexity,
Lyapunov equation and
Grammians.
Design in State Space
(1/2): State feedback
control for controllable
canonical form, State
feedback control in general,
Design in State Space
(2/2): State feedback for
discrete-time systems,
Computational algorithms
and their complexity,
Output feedback control.
Full-order and reducedorder observers, Physical
aspects of control system
design in state space.
15
3
Lecture/Assign.
Quiz
Assignment 5
3
Lecture, Class activity
Assignment 5
3
Lecture, Class activity
Quiz
3
Lecture, Case Study
Oral Exam
Final exam
4. Course Matrix
ILO’s code number
Teaching/learning methods and
strategies
Assessment methods and
strategies
2.1.3
2.1.4
Formal lectures
Individual coursework
assignments, quizzes, oral
discussions and reports. Mid year
and /or final written examination is
given.
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Benha University
2.2.1
2.2.4
2.2.5
Faculty of Engineering
Analysis and problem‐ solving
skills are developed through
tutorial/problem sheets and small
group exercises.
Research skills are developed
through a small subject oriented
research project.
Experiments demonstrations,
practical work, laboratory visits.
2.3.1
2.4.3
2.4.5
2.4.6
2.4.7
Those skills are not explicitly
taught; however, along the course
of study the student will acquire
those skills to be able to perform
his obligations. Attendance of
seminars, workshops or conferences
will help the student in developing
those skills. Presentation by
students (either group or individual)
will train students for those skills.
Analysis and problem‐ solving
skills are assessed through oral and
written examinations.
Design and research skills are
assessed through project write-ups,
coursework and project reports.
Practical skills are assessed
through laboratory experimental
write-ups, coursework exercises
and reports, project reports and
presentations.
Project presentation
5. Teaching and Learning Methods
 Lectures
Practical training / laboratory
 Seminar / workshop
 Class activity
 Case study
 Assignments / homework
Other ________________
6. Student Assessment Methods






Assignments to assess knowledge and intellectual skills.
Quiz to assess knowledge, intellectual and professional skills.
Mid-term exam to assess knowledge, intellectual, professional and general skills.
Oral exam to assess knowledge and intellectual skills.
Final exam to assess knowledge, intellectual, professional and general skills.
Other: Practical exam to assess knowledge, intellectual, professional and general skills.
7. Assessment schedule
Assessment 1
Assessment 2
Assessment 3
Assessment 3
Assessment 4
4
Assignments
Quizzes
Mid-term exam
Oral exam
Final exam
on weeks
on weeks
on weeks
on week
on week
2, 3, 4, 5 , 6, 7 ,9, 10, 11, and 12
5, 7, 10, and 13
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Benha University
Faculty of Engineering
8. Weighting of Assessments
Mid-Term Examination
Final-TermExamination
Oral Examination
Practical Examination
Semester Work
Other
Total
20%
60%
05%
05%
10%
00%
100%
9. List of References
9.1 Course Notes
 Course notes prepared by instructor
 PowerPoint slides.
9.2 Essential books (Text books)
 R. Dorf and R. Bishop, "Modern Control Systems", Twelfth Edition, Prentice Hall,
2011
 K. Ogata, “Modern Control Engineering”, 2013, Prentice Hall
 Franklin, Powell and Enami. “Feedback Control of Dynamical Systems”, Addison-Wiley,
1994.
 Zhou, Doyle and Glover. “Robust and Optimal Control”, Prentice Hall, 1996.
 Boyd, El Ghaoui, Feron and Balakrishnan. “Linear Matrix Inequalities in Systems and
Control Theory”, SIAM, 1994.
9.3 Recommended books;


Dr. K.P. Mohandas, "Modern Control Engineering", revised edition, Sanguine
Publishers, Bangalore, 2006.
M. Gopal, "Modern Control System Theory", Wiley Eastern Ltd., New Delhi.
9.4 Periodicals & Websites.
www.moderncontrolengineering.com
10.Facilities Required for Teaching and learning


Lecture room with computer and data show
Computer Laboratory.
Course coordinator:Prof. Dr. Saber AbdRabbo
Course instructor:
Head of department: Osama Abdeltaif
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Date10 /10 /2015