| Subject name (in Hungarian, in English) | Control engineering and informatics | |||
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Advanced Control and Informatics
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| Neptun code | BMEGEMINWAC | |||
| 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): | 2 | 1 | 0 | |
| nature (connected / stand-alone): | - | coupled | - | |
| Type of assessments (quality evaluation) | exam | |||
| ECTS | 4 | |||
| Subject coordinator | name: | Dr. Budai Csaba | ||
| post: | associate professor | |||
| contact: | budai@mogi.bme.hu | |||
| Host organization | Department of Mechatronics, Optics and Mechanical Engineering Informatics | |||
| http://www.mogi.bme.hu/ | ||||
| Course homepage | http://www.mogi.bme.hu/oktatas/BMEGEMINWAC | |||
| Course language | hungarian | |||
| Primary curriculum type | mandatory | |||
| Direct prerequisites | Strong prerequisite | none | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | none | |||
Aim
Methods for testing and describing linear and nonlinear systems over time. Stability test. Status feedback. Pole allocation and optimal state feedback. Introduction of Kálmán filter. Description of the study of nonlinear systems Lyapunov stability, formulation of Lyapunov stability criteria in the form of linear matrix inequalities. Presentation of digital control design used in engineering practice.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
Knows basic control engineering tasks and the general structure of regulatory circuits. Knows the most important tuning methods of P, PI, PD, PID controllers. The student is aware of the concepts of controllability and observability. Knows the concept of controllability and observability Gramm matrices. Interprets the effect of status feedback on system time constants. Interprets the similarities of design feedback also observational design. The student is aware of the canonical form of controllability and observability of LTI SISO systems. The student is familiar with the LQR optimal state feedback method. The student is aware of the operating principle and design methods of the Kálmán filter. The student interprets the basic properties of nonlinear systems and the study of Lyapunov stability. The student is aware of the concept of linear matrix inequalities as well as the main methods of model reduction techniques. The student is aware of the basics of computer control and methods of designing digital controllers.
Ability
Apply the most important tuning methods of P, PI, PD, PID controllers in practice. It designs the sampled P, PI, PD, PID type controllers. With his IT knowledge, he is able to write a computer control program that performs simple regulatory tasks. Capable of designing an observer for LTI SISO systems. Plans observer-based status feedback. Able to design LQR optimal state feedback. It designs the Kálmán filter that optimally estimates the unmeasured states of the system. Defines LQR status feedback and Kálmán filter for LQG control. It proposes a digital implementation of the designed LQG controller. Apply model reduction techniques to reduce large-scale LTI systems. Apply Jacobi linearization to generate an LTI model. Calculates LMI-based state feedback planning for LTI systems.
Attitude
The student constantly monitors his work, results and conclusions. It expands your knowledge of control technology by continuously acquiring knowledge. Open to the use of information technology tools. It develops the ability to provide accurate and error-free problem solving and engineering precision. It seeks to learn about novel theories of control technology.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Accepts well-founded professional and other critical remarks. In some situations, as part of a team, you work with your fellow students to solve tasks. With his knowledge, he makes a responsible, well-founded decision based on his analyzes. The student is committed to the principles and methods of systematic thinking and problem solving.
Teaching methodology
During the teaching of the subject, the lecture and the classroom practice are separated in methodology. The lectures basically introduce students to the information defined by the knowledge competence elements using the technique of frontal education. The practical sessions promote the application and skill-level acquisition of knowledge with a theme coordinated with the lectures, but with the mirrored classroom method. During the exercises, the knowledge previously acquired at home, independently, is solved partly jointly and partly individually with the help of the practice leader. In order to assess prior knowledge, there are optional assessments at the beginning of the practical sessions, the results of which (as extra points) are included in the semester score.
Support materials
Textbook
Katsuhiko Ogata: Modern Control Engineering. Pearson, 2011, ISBN-13: 978-0136156734
Lecture notes
Online material
Validity of the course description
| Start of validity: | 2020. September 1. |
| End of validity: | 2025. July 15. |
General rules
The assessment of the learning outcomes formulated during the objective of the course consists of 2 compulsory and 1 optional mid-year performance measurements. The condition for obtaining the signature is to achieve a result of at least 40% in the mandatory performance evaluations (separately). Additional points earned in the optional partial performance evaluation will be credited in the semester in which the signature was obtained.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 1 | |
| Purpose, description: | Summarizing academic performance evaluation is a complex, written way of evaluating the knowledge and ability type competence elements of the subject in the form of an indoor dissertation. The dissertation basically focuses on the application of the acquired knowledge, so it focuses on problem recognition and solution solution, ie practical (calculation) tasks must be solved during performance evaluation. The condition for the sufficient completion of the dissertation is to achieve a result of at least 40%. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, simple | |
| Number: | 1 | |
| Purpose, description: | Partial performance assessment (homework) is a complex way of evaluating the knowledge, ability, attitude, as well as independence and responsibility type competence elements of the subject, the form of which is the individual homework. The condition for the sufficient completion of the homework, taking into account the observance of the pre-specified formal requirements, is the achievement of a result of at least 40%. Pursuant to Section 122 (2) of the BME TVSZ, the value of the available score decreases by 20% per homework during late submission. | |
| Mid-term assessment No. 3 | ||
| Type: | formative assessment, point-in-time personal act | |
| Number: | 1 | |
| Purpose, description: | Partial performance assessment (active participation) is a simplified way of assessing the knowledge, ability, attitude, and independence and responsibility type competence elements of the subject, the form of which is: prepared appearance and active participation in the classroom practice process. or writing optional verification tests. Due to its nature, active participation cannot be replaced, improved, or otherwise replaced or replaced. | |
Detailed description of assessments performed during the examination period
Elements of the exam:
| Oral partial exam | ||
| Obligation: | mandatory (partial) exam unit, failing the unit results in fail (1) exam result | |
| Description: | A complex way of assessing the knowledge, ability, attitude, and autonomy and responsibility type competence elements of a subject in the form of an oral response that basically focuses on interpreting each concept, understanding the relationships between them, and recognizing problems. Topics for the oral exam include curriculum from both lectures and exercises. The purpose of the examination is to assess the acquisition of the basic connections and the understanding of the relationships between them. The time available is a minimum of 10 to a maximum of 20 minutes. During the semester, on the basis of the additional points that can be obtained at the optional examinations, they are credited in case of sufficient completion of the oral examination; the grade obtained in the oral examination may be improved by a maximum of one grade. | |
| Inclusion of mid-term results | ||
| Obligation: | optional (partial) exam unit, which can be taken into account only if it is favourable for the student | |
| Description: | Based on the crediting of the mid-year results, the candidate may obtain a good or excellent written partial examination, in addition to which the points obtained during the mandatory performance evaluations, the additional points obtained in the optional partial performance evaluation are also taken into account. A good grade is offered from 70% of the score available in mandatory assessments, while a good grade is obtained from 85%. The grade given will become final upon acceptance by the student. If the student does not accept the exam grade offered on the basis of the mid-year results, he / she must pass the written part of the combined exam. | |
The weight of mid-term assessments in signing or in final grading
| ID | Proportion |
|---|---|
| Mid-term assessment No. 1 | 60 % |
| Mid-term assessment No. 2 | 40 % |
| Mid-term assessment No. 3 | 15 % |
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
| Type: | Proportion |
|---|---|
| Oral partial exam | 40 % |
| Inclusion of mid-term results | 60 % |
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
The lack of the value means that there is no attendance requirement.
At least 70% 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? | ||
| yes | ||
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| yes | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| each summative assessment can be retaken or improved | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam not possible | ||
| 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 | ||
| The way of retaking or improving a partial assessment for the first time: | ||
| partial assesment(s) in this group can be improved or repeated once up to the end of the repeat period | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 42 |
| mid-term preparation for practices | 7 |
| preparation for summary assessments | 16 |
| elaboration of a partial assessment task | 4 |
| exam preparation | 28 |
| additional time required to complete the subject | 23 |
| altogether | 120 |
Validity of subject requirements
| Start of validity: | 2020. September 1. |
| End of validity: | 2025. July 15. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Common on all MSc programmes
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
- Student has the knowledge of the general and specific characteristics, boundaries and main developments of the field, its links with related disciplines.
- Student has the detailed knowledge of the context, theories and terminology of the field.
- Student has a detailed knowledge of legal regulations and ethical standards relevant to the field of specialisation.
Ability
- Student carries out a detailed analysis of the various concepts that make up the knowledge base of the field, synthesising and synthesising the broad and specific contexts and making an appropriate assessment of them.
- Student identifies specific professional problems using a multifaceted, interdisciplinary approach, and explores and formulates the detailed theoretical and practical background needed to solve them.
- Student has a high level of knowledge transfer skills in the field, and is able to use and process publication sources in Hungarian and foreign languages, and has effective information research and processing skills in the field.
Attitude
- Student takes decisions in new, complex and strategic decision-making situations and in unexpected situations, taking full account of legal and ethical standards.
- Student strives to put the latest developments in student's field at the service of student's own development.
- Student understands and represents the active citizenship and literacy elements that define the key issues in their field.
Independence and responsibility
- Student demonstrates a high degree of autonomy in thinking through and developing broad and specific professional issues on the basis of given resources.
- Student is involved in research and development projects, mobilises student's theoretical and practical knowledge and skills in a project team in an autonomous way, in cooperation with the other members of the team, in order to achieve the objective.
- Student independently applies a wide range of methods and techniques in practice in contexts of varying complexity and predictability.
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) |
none |
|
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) |
none |