Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

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Advanced Digital Control

Course Code	: EEE526
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 6

Objectives of the Course

This course aims to present the basic concepts, analysis, and design of advanced digital control systems.

Course Content

The purpose of discrete control system design is to model, analyze, and derive digital control rules for numerical control-based systems according to predetermined performance criteria. It involves the development of knowledge and application capabilities to perform designs in transfer function and state space domains.

Name of Lecturer(s)

Learning Outcomes

1.	To learn the basic concepts of digital control systems
2.	Solving state-space equations of discrete-time systems
3.	To learn stability analysis of digital control systems
4.	State observer and state-space controller design
5.	Optimal control

Recommended or Required Reading

1.	Digital Control Systems, Benjamin C. Kuo, Oxford University Press.
2.	Discrete Time Control Systems , Katsuhiko Ogata, Prentice Hall.
3.	Digital Control System Analysis and Design, Charles L. Phillips, H. Troy Nagle, Prentice Hall.
4.	Digital Control of Dynamic Systems,3rd edition, Gene F. Franklin, J. David Powell, Michael L. Workman, Prentice Hall.
5.	Digital Control Engineering Analysis and Design, M. Sam Fadali, Academic Press, 2009

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to discrete-time control systems and z-transform

Week 2 - Theoretical

Introduction to discrete-time control systems and z-transform

Week 3 - Theoretical

Design based on the root-locus method

Week 4 - Theoretical

Design based on the frequency-response method

Week 5 - Theoretical

Analytical design method

Week 6 - Theoretical

State-Space representation of discrete-time systems

Week 7 - Theoretical

Discretization of continuous-time state-space equations

Week 8 - Theoretical

Discretization of continuous-time state-space equations - Midterm Exam

Week 9 - Theoretical

Controllability

Week 10 - Theoretical

Observability

Week 11 - Theoretical

State observers

Week 12 - Theoretical

Design via pole placement

Week 13 - Theoretical

Case studies

Week 14 - Theoretical

Case studies

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Attending Lectures	1	%5
Quiz	1	%5
Midterm Examination	1	%20
Final Examination	1	%70

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	4	3	98
Individual Work	14	0	1	14
Quiz	1	7	1	8
Midterm Examination	1	10	2	12
Final Examination	1	15	3	18
TOTAL WORKLOAD (hours)				150

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7
OÇ-1	4	4	4	4	4	4	4
OÇ-2	4	4	4	4	4	4	4
OÇ-3	4	4	4	4	4	4	4
OÇ-4	4	4	4	4	4	4	4
OÇ-5	4	4	4	3	4	5	4

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