Fundamentals of Modern Control System Development

Description: Areas of training specialists in the field of control and automation. A modern place for specialists in the field of control and automation. The history of the development of science in terms of control and automation. Problems to be solved in the work of management and automation specialists.

Amount of credits: 3

Course Workload:

Types of classes	hours
Lectures	15
Practical works	15
Laboratory works
SAWTG (Student Autonomous Work under Teacher Guidance)	15
SAW (Student autonomous work)	45
Form of final control	Exam
Final assessment method	Exam

Component: Component by selection

Cycle: Base disciplines

Goal

• Knowledge of the theoretical foundations of automatic control and the ability to perform computational and research work on the creation and implementation of automatic systems with the widespread use of modern computer technology.

Objective

• In the process of studying the discipline, the worldview education of a bachelor's specialist is carried out, his understanding of the importance of scientific and technological progress and the role of automation of production processes and objects as one of the main directions of its acceleration is formed.

Learning outcome: knowledge and understanding

• functions of automatic systems in the implementation of tasks of automation of technical facilities and industries; basic principles for creating automatic control circuits; the main types of automatic control systems, their mathematical description and the main tasks of design and research. - modern principles and methods for the study of linear control systems; - general theoretical foundations of automatic regulation and control.

Learning outcome: applying knowledge and understanding

• Students should have skills in solving n-order algebraic equations, differential equations, be familiar with the basics of mathematical analysis, be able to make equations describing physical and electrical systems and processes, have computer skills.

Learning outcome: formation of judgments

• The ability to independently apply the methods and means of cognition, training and self-control, to realize the prospects of intellectual, cultural, moral, physical and professional self-development and self-improvement, to be able to critically evaluate one's strengths and weaknesses.

Learning outcome: communicative abilities

• as a member of the team, demonstrating the skills of managing certain groups of performers, including over interdisciplinary projects, being able to show personal responsibility, commitment to professional ethics and standards of professional activity.

Learning outcome: learning skills or learning abilities

• The ability to master new equipment being introduced, to check the technical condition and residual life of existing equipment of automation systems, and if necessary, to provide repair and restoration work at production sites of the enterprise.

Teaching methods

When conducting training sessions, it is planned to use the following educational technologies: - interactive lecture (application of the following active forms of learning: guided discussion or conversation; moderation; demonstration of slides or educational films; brainstorming; motivational speech); - construction of scenarios for the development of various situations based on the specified conditions; - information and communication (for example, classes in a computer classroom using professional application software packages); - search and research (independent research activity of students in the learning process); - solving educational tasks.

Assessment of the student's knowledge

Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.

Period	Type of task	Total
1  rating	Practical work 1	0-100
	Practical work 2
	Test
2  rating	Practical work 3	0-100
	Practical work 4
	Test
Total control	Exam	0-100

The evaluating policy of learning outcomes by work type

Type of task	90-100	70-89	50-69	0-49
	Excellent	Good	Satisfactory	Unsatisfactory

Evaluation form

The student's final grade in the course is calculated on a 100 point grading scale, it includes:

• 40% of the examination result;
• 60% of current control result.

The final grade is calculated by the formula:

FG = 0,6	MT1+MT2	+0,4E
	2

 

Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;

E is a digital equivalent of the exam grade.

Final alphabetical grade and its equivalent in points:

The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:

Alphabetical grade	Numerical value	Points (%)	Traditional grade
A	4.0	95-100	Excellent
A-	3.67	90-94
B+	3.33	85-89	Good
B	3.0	80-84
B-	2.67	75-79
C+	2.33	70-74
C	2.0	65-69	Satisfactory
C-	1.67	60-64
D+	1.33	55-59
D	1.0	50-54
FX	0.5	25-49	Unsatisfactory
F	0	0-24

Key reading

• Metody klassicheskoi i sovremennoi teorii avtomaticheskogo upravleniıa. Pod red. K.A. Pupkova, N.D. Egupova. M.: MGTU, im. N.. Baumana, 2004
• Besekerskii V. A., Popov E. P. Teoriıa sistem avtomaticheskogo regulirovaniıa, izdanie trete, ispravlennoe. M: Izdatelskii tsentr «Akademiıa», 2011.
• Egorov K.V. Osnovy teorii avtomaticheskogo regulirovaniıa, uchebnoe posobie dlıa vuzov, izd. 2-e, pererab. i dop., - M.: "nergiıa", 1997. - 648s., il.
• Zaitsev G. F. Teoriıa avtomaticheskogo upravleniıa i regulirovaniıa.— 2-e izd., pererab. i dop. Kiev, Izdatelstvo Vyşa şkola Golovnoe izdatelstvo, 2012.