|Subject name (in Hungarian, in English)||Control Engineering|
|Type||study unit with contact hours|
|Course types and number of hours (weekly / semester)||course type:||lecture (theory)||exercise||laboratory excercise|
|number of hours (weekly):||3||1||0|
|nature (connected / stand-alone):||-||coupled||-|
|Type of assessments (quality evaluation)||exam|
|Subject coordinator||name:||Dr. Aradi Petra Katalin (71655948312)|
|Host organization||Department of Mechatronics, Optics and Mechanical Engineering Informatics|
|Course language||hungarian, english|
|Primary curriculum type||mandatory|
|Direct prerequisites||Strong prerequisite||BMETE93BG03|
|Milestone prerequisite||at least obtained 0 ECTS|
|Excluding condition||BMEGEMIAGIT, BMEGEMIAEIT, BMEGEMIBMRI|
The course aims to present the basic concepts of control engineering, methods of examination and description of linear and nonlinear systems in time, frequency and Laplace operator domain, quality requirements of control systems, synthesis of PID-compensated linear control systems, handling of nonlinearities in control systems. , the basic concepts of digital control and modern state space control systems.
Competences that can be acquired by completing the course
Knows the commonly used concepts of signals and systems and control engineering, the task and classification of control systems. Describes the basic and complex subsystems of mechanical and energy systems in the time, frequency, and Laplace operator domains. Understands the structure of single-loop feedback control systems, the quality requirements for regulation (closed-loop control). Understands the operation of PID-compensated linear feedback control systems. Knows the nonlinear elements that occur in control engineering and the methods of their treatment. Is aware of the types of multi-loop control systems and their scope. Is informed about the principles and possibilities of open-loop control systems. Knows the principles and applications of digital feedback control. Is aware of the principles and possibilities of modern state space control systems. Is aware of the role and methods of computer simulation in the study of control systems.
Can describe real-world systems with abstract mathematical models in the time, frequency, and Laplace operator domains. Applies conversion methods between mathematical models in different domains. Uses graphical representations of mathematical models to examine control systems. Designs PID controller compensation for linear single-loop feedback control systems. Can mathematically handle nonlinearities occurring in control systems. Analyzes processes and control systems from several perspectives. Can identify simpler control engineering problems, applying the theoretical and practical background needed to solve them, and uses learned solution methods. Defines the application needs of multi-loop controls, digital control, and modern state space control systems. Applies IT knowledge to solve complex, computationally intensive tasks. Expresses his/her thoughts in an orderly form, orally and in writing.
Expands his/her knowledge of control engineering by continuous learning. Is open to the use of information technology tools. Seeks to learn about and routinely use tools to solve control engineering problems. Strives for an accurate and error-free solution using only the tools allowed. Seeks to apply the principles of energy efficiency and environmental awareness in solving control engineering tasks.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Independently thinks through control engineering tasks and problems and solves them based on specific resources. Accepts well-founded critical remarks about his/her knowledge and work. In some situations, as a team member, works with fellow students to solve tasks. Is committed to the acquisition of the required knowledge in accordance with his/her abilities.
In the lectures, the teaching method is frontal. Students can answer the questions related to the students' topic and the speaker in an appropriate form. After the guided solution of the calculation tasks presented in the exercises, the students can solve the related tasks independently after the preliminary preparation. There are optional knowledge testing and problem-solving according to students’ requirements in and outside of classes. IT tools and techniques related to task solutions are described in lessons and with separate aids.
Béla Lantos: Theory and Design of Control Systems I. Univariate regulations. Akadémiai Kiadó, Budapest. 2009. ISBN 9789630587280
József Bokor, Péter Gáspár: Control Engineering with Vehicle Dynamics Applications. Typotex, Budapest. 2008. ISBN 9789632790015
Robert H. Cannon: Dynamics of Physical Systems. Dover Civil and Mechanical Engineering. 2003. ISBN 9780486428659
A collection of learning materials is available online. 2019-2020
Validity of the course description
|Start of validity:||2022. September 1.|
|End of validity:||2025. August 31.|
Learning outcomes are assessed based on two mid-term written performance measurements (two summative assessments of academic performance, in-class dissertation), active participation in classes (partial performance assessment), solving non-compulsory extracurricular tasks, and a written exam after passing the mid-term requirements. The results of optional assessments may improve the valid grade obtained in the exam. With continuous active participation both in class and outside of class and good mid-term results, an exam grade might be offered.
Detailed description of mid-term assessments
|Mid-term assessment No. 1|
|Purpose, description:||A complex, written way of evaluating the knowledge and ability type competence elements of the subject. The paper basically focuses on applying the acquired knowledge, so it focuses on problem recognition and solution. In addition to theoretical knowledge, practical (calculation) tasks must be solved during performance evaluation. The lecturer of the subject determines the part of the curriculum on which the assessment is based. The available working time is 45 minutes. Roughly the first and second thirds of the semester are closed by a 25-point paper. The combined minimum requirement to obtain a signature is at least 20 of 25+25=50 points).|
Detailed description of assessments performed during the examination period
Elements of the exam:
|Written partial exam|
|Obligation:||mandatory (partial) exam unit, failing the unit results in fail (1) exam result|
|Description:||The summary evaluation consists of three written parts. The required minimum level must be reached separately for each of the three parts, as follows. Of the minimum questions required by the criteria, 80% must be achieved in the time specified in the examination, up to a maximum of 30 minutes. If this fails, the exam mark is insufficient; the rest of the dissertation will not be corrected. The numerical result of the minimum questions is not included in the exam result. Elaboration of theoretical questions: at least 12 points must be achieved from the theoretical questions' total score (30 points). Calculation and drawing examples: at least 8 points must be achieved from the tasks' total score (20 points). If a student scores below the required minimum level in any section, the exam grade is insufficient.|
|Inclusion of mid-term results|
|Obligation:||mandatory (partial) exam unit, but failing the unit does not results in fail (1) exam result|
|Description:||A total of 50 points from the two 25-point mid-term papers and 50 points can be obtained in the written examination for the basis for calculating the grade. Only the combined mid-term result of at least 20 points (40%) must obtain a signature that counts towards the examination result. A student who takes an exam course and has a valid signature from a previous semester carries the aggregate result obtained in the semester of obtaining the signature for the exam.|
The weight of mid-term assessments in signing or in final grading
|Mid-term assessment No. 1||100 %|
The condition for signing is that the score obtained in the mid-year assessments is at least 40%.
The weight of partial exams in grade
|Written partial exam||50 %|
|Inclusion of mid-term results||50 %|
Determination of the grade
|Grade||ECTS||The grade expressed in percents|
|very good (5)||Excellent [A]||above 90 %|
|very good (5)||Very Good [B]||85 % - 90 %|
|good (4)||Good [C]||70 % - 85 %|
|satisfactory (3)||Satisfactory [D]||55 % - 70 %|
|sufficient (2)||Pass [E]||40 % - 55 %|
|insufficient (1)||Fail [F]||below 40 %|
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
Must be present at at least 70% (rounded down) of lectures.
At least 85% the exercises (rounded down) must be actively attended.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
|Need mid-term assessment to invidually complete?|
|The way of retaking or improving a summary assessment for the first time:|
|the summative assessments can be retaken or improved only combined|
|Is the retaking-improving of a summary assessment allowed, and if so, than which form:|
|one single, combined retake or grade-improving exam is possible for all assesments|
|Taking into account the previous result in case of improvement, retaken-improvement:|
|out of multiple results, the best one is to be taken into account|
Study work required to complete the course
|Activity||hours / semester|
|participation in contact classes||56|
|mid-term preparation for practices||7|
|preparation for summary assessments||32|
Validity of subject requirements
|Start of validity:||2022. September 1.|
|End of validity:||2025. August 31.|
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
- Student is familiar with the general and specific mathematical, scientific and social principles, rules, contexts and procedures needed to operate in the field of engineering.
- Student has the ability to apply the general and specific mathematical, scientific and social principles, rules, relationships and procedures acquired in solving problems in the field of engineering.
- Student strives to respect and enforce ethical principles of work and organisational culture.
Independence and responsibility
- Student has the ability to work independently on engineering tasks.
Prerequisites for completing the course
Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject)
Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject)