ACADEMICS
Course Details

ELE430 - Computer Control

2022-2023 Fall term information
The course is not open this term
ELE430 - Computer Control
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Elective
Prerequisite courses : ELE354
Concurrent courses : ELE434
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving, Other: This course must be taken together with ELE434 COMPUTER CONTROL LABORATORY.
Course objective : Today, control systems are largely realized in digital form either on a computer or on cards that have computing power such as microcontroller or DSP cards. In this course, the necessary background is given in order to be able to understand such control systems and it is aimed at equipping students with the knowledge and skills needed to analyse and realise such systems.
Learning outcomes : A student who completes the course successfully is expected to 1. Understand the relationship and transformations between continuous-time and discrete-time systems . 2. Be able to implement continuous-time controllers on digital platforms such as microcontrollers or DSP cards or computers. 3. Design and implement digital control systems. 4. Be aware of practical issues and physical limitations concerning digital control systems. 5. Be acquired a suitable background to study more advanced digital control problems.
Course content : Description of computer control. Sampling of continuous-time signals. Signal reconstruction: zero-order hold, aliasing. Linear difference equations and discrete-time transfer functions. Poles, zeros and stability. The jury's stability test. Modelling and block diagram analysis. Mapping between the s-plane and z-plane. Discrete-time equivalents to continuous-time transfer functions: hold equivalence, forward and backward difference method, Tustin's method, pole-zero mapping. Time response analysis. Robot locus and Bode design. State space representation. Canonical forms. Solution of state space equations. Discretization of continuous-time state space equations. Controllability, reachability and observability. State feedback and Ackermann's formula. Deadbeat control. Observers. Duality.
References : [1] Ogata K., Discrete-Time Control Systems, 2nd Ed., Prentice Hall, 1995.; [2] Franklin G.F., Powell J.D. and Workman M.L., Digital Control of Dynamic Systems, 2nd Ed., Addison Wesley, 1990.; [3] Aström K.J. and Wittenmark B., Computer Controlled Systems: Theory and Design, 3rd Ed., Prentice Hall, 1997.
Course Outline Weekly
Weeks Topics
1 An overview of digital control systems, sampling of continuous-time signals, signal reconstruction and Z-transform.
2 Discrete-time systems and analysis: solution of difference equations, pulse response, convolution sum, poles, zeros and stability, Jury's stability test, shift operator calculus.
3 Analysis of discrete-time systems from a continuous-time point of view, block diagram analysis of sampled data systems, zero-order hold equivalence of a continuous-time system, mapping between the s-plane and the z-plane.
4 Discrete-time equivalents to continuous-time transfer functions: zero-order and first order hold methods, backward and forward difference methods, Tustin's method, Tustin's method with frequency prewarping, pole-zero mapping.
5 Transient and steady-state response analysis of discrete-time systems.
6 Discrete control system design based on the root-locus method.
7 Discrete control system design based on the root-locus method.
8 Discrete control system design based on the frequency response method.
9 Midterm Exam
10 State-space representation of discrete-time systems: direct programming method, nested programming method, partial-fraction expansion programming method, canonical forms and similarity transformation.
11 Solving discrete-time state-space equations, state transition matrix, solution by Z-trasform, discretization of continuous-time state-space equations.
12 Controllability and reachability, observability, duality, transforming state-space equations into canonical forms.
13 Design of discrete control systems in state-space: state feedback, deadbeat control, Ackermann's formula
14 Design of discrete control systems in state-space : observer and observer + state feedback.
15 Preparation for Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 5 10
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 13 3 39
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 4 56
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 5 4 20
Quiz 0 0 0
Midterms (Study Duration) 1 20 20
Final Exam (Study duration) 1 25 25
Total workload 34 56 160
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
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