Theory: 50 %

Practice: 50 %

Recommended semester: 4

Study mode: full-time

Prerequisites: Signals and Systems

Evaluation type: exam

Course category: compulsory

Language: english

Responsible instructor: Dr. Kovács Lóránt

Responsible department: Department of Information Technologies

Instructor(s): Dr. Kovács Lóránt

Course objectives:
The objective of the course is to introduce students to the basic principles of control engineering.

Course content - lectures:

1 Introduction to control engineering 2 System theory: analysis of dynamic systems by differential equation 3. Analysis of dynamic systems by convolution 4 Introduction to frequency domain analysis of dynamic systems, frequency function 5 Most frequently used system models and their freqoency function 6. Bode-diagram of the most frequently used frequency functions 7. Fourier series expansion and transformation to analyze systems with periodic and finite energy input 8. Laplace transform and its application for calculating the impulse response function 9. Stability of open-loop and feedback loop systems 10 Steady state and dynamic error in feddback systems 11. P-controllers and simulations of P-controlled systems 12. PI, PDloop controls and simulations 13. PID loops control systems and simulation 14. Summary

Course content - seminars:

1 Analysis of sinusoid, and exponential functions 2. Calculations with complex numbers: the four basic operations and the Euler formula 3. The basic concepts of control engineering, modes of description, and the interpretation of block diagrams. 4. Logarithmic scales and decibels 5. Complex representation of sinusoid function and the complex exponential function 6. Depiction of frequency functions on Bode-diagram 7. Decomposition of multiterm transfer functions and depiction of the associated frequency function in Bode-diagram 8. Calculation of the impulse response and step response function using Laplace transform. The partial fraction expansion technique. 9. Plotting pole-zero maps, calculation of zeros and poles of the transfer function 10. Stability analysis examples. 11. Calculation of the setady state error of negative feedback loops 12. Calculation of the stability of P-controlled systems 13 Simulations of PI, PD and PID loops.

Acquired competences:
Knowledge:

- Knowledge of the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of IT. - He/she posesses a basic knowledge and engineering approach to signal processing, modelling, simulation and control of systems and networks.

Skills:

He/she can apply his/her knowledge acquired during his/her study to acquire deeper knowledge in the field of information engineering and to process special literature and solve problems related to information technology. - He/she constantly improves his/her knowledge and keeps up with the development of the computer engineering profession.

Attitude:

- He/she genuinely represents the professional principles of engineering and information technology fields. - He/she aims to see through the entire engineering system not only his/her own field. - He/she is open to get to know other fields which employ information technology tools, and open to work out information technology soultions in cooperation with the experts of other areas. - He/she understands and embraces the ethical principles and legal implications of his/her profession. - He/she makes an effort to work efficiently and to high standards. - He/she keeps in mind and ensures the security of his/her employees' and customers' data and information.

Autonomy and responsibilities:

- He/she feels responsible for IT systems analysis, development and operation, both individually and as part of a team. - He/she reveals the weaknesses of the technologies applied, risks of processes and initiates measures which reduce them.

Additional professional competences:

Requirements, evaluation, grading:
Mid-term study requirements:

Exam requirements:

The exam is a 90-minute written assessment that requires both theoretical and practical knowledge. In the event of a pandemic, the exam will be an online set of calculation and test-type tasks that must be completed within a specified time—details about the procedure and nature of the exam will be provided by the lecturer/instructor, tailored to the specific semester.

Study aids, laboratory background:

Electronic supplementary materials are available for the successful completion of the course, about which the lecturer/instructor will provide more detailed information.

Compulsory readings:

[1] Madarász László: Irányítástechnika. Analóg irányításelmélet. H-247 [2] Madarász László: Irányítástechnika példatár. Analóg ismeretek. H-220 [3] Dr. Csík Norbert: APPENDIX az analóg irányítástechnikához, Neptun, elektronikus segédanyag, 2020

Recommended readings:

[1] Nagyné Cséky Zs: Gyakorlati szabályozástechnika példatár. Kecskeméti Főiskola GAMF Kar, H-402 [2] Csáki F.: Szabályozások dinamikája. Akadémiai Kiadó, Budapest, 1966.