Automation of production processes
Description: The discipline belongs to the profile disciplines, a mandatory university component. Dedicated to the study of methods and means of automation of production. In the process of studying the discipline, the student must acquire knowledge on the general patterns and trends in the development of modern production, know the basics of construction, methods for calculating technological processes of automated production, principles for designing automated machine tools, workshops, and industries.
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method | writing exam |
Component: University component
Cycle: Profiling disciplines
Goal
- To form students' knowledge about the methods, means of automating production processes and the laws governing the construction of automated and automatic production processes, as well as to prepare students for independent solution of theoretical and applied problems of automating production processes in various industries.
Objective
- consideration of the structure of automatic control systems in industry;
- study of the basic concepts of the parameters of production processes;
- mathematical modeling of production processes and control systems;
- analysis of modern hardware and software for obtaining, processing, transmitting information and managing production;
- the development of students' ability to independently acquire and deepen the knowledge gained during the course.
Learning outcome: knowledge and understanding
- Basic concepts about the parameters of production processes, instrumentation; main technical characteristics and area of application of computer equipment for automatic process control systems; principles of construction and operation of alarm and blocking systems; principles and methods for developing application software for control systems.
Learning outcome: applying knowledge and understanding
- Calculation of parameters of production processes; Development of alarm and blocking systems; Development of applied software for control systems.
Learning outcome: formation of judgments
- Selection of the main components of an automated process control system. Mathematical description of production processes.
Learning outcome: communicative abilities
- Ability to work in a team; willingness to justify the adoption of a specific technical solution when creating an automated system; the ability to use information technology in their subject area;
Learning outcome: learning skills or learning abilities
- Analysis and mathematical description of continuous and discrete technological processes as objects of automation; calculation and selection of the main components of the automated process control system, depending on the task and operating conditions; substantiation of the choice and layout of the elements of the automated process control system.
Teaching methods
technologies of educational and research activities
communication technologies
information and communication technologies
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 | Mastering the lecture material | 0-100 |
| Completing task 1 | ||
| Defense of practice 1 | ||
| Completing task 2 | ||
| Defense of practice 2 | ||
| Completing task 3 | ||
| 2 rating | Mastering the lecture material | 0-100 |
| Defense of practice 3 | ||
| Completing task 4 | ||
| Defense of practice 4 | ||
| Completing task 5 | ||
| Defense of practice 5 | ||
| Test 1 | ||
| Test 2 | ||
| 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 |
Topics of lectures
- Tasks and objects of control in automated production systems
- General principles of control
- Fundamentals of computer control
- A complex of technical means of automated control systems for production systems
- Transfer of information to the automated control system of the production system
- Control AT VARIOUS ORGANIZATIONAL LEVELS IN PRODUCTION
- SPECIFICS OF INDUSTRIAL ROBOT CONTROL
- ADAPTIVE ROBOT CONTROL SYSTEMS
- NUMERICAL CONTROL SYSTEMS
- COMPLEX AUTOMATION OF SERIAL PRODUCTION
Key reading
- Moldabaeva M.N. Avtomatizatsiıa tehnologicheskih protsessov i proizvodstv: uchebnoe posobie. Moskva, 2019. 224s.
- Fedotov A.V. Avtomatizatsiıa upravleniıa v proizvodstvennyh sistemah: uchebnoe posobie. Omsk, 2001. - 354s.
- Rachkov, M. IY. R27 Avtomatizatsiıa proizvodstva : uchebnik dlıa SPO / M. IY. Rachkov. — 2-e izd., ispr. i dop. — M. : Izdatelstvo IYrait, 2018
- Panteleev V.N. P166 Osnovy avtomatizatsii proizvodstva : uchebnik dlıa uchrejde-. nii nach. prof. obrazovaniıa / V.N.Panteleev, V.M.Proşin. — 5-e izd., pererab. — M. : Izdatelskii tsentr «Akademiıa», 2013. — 208 s.
Further reading
- Avtomatizatsiıa tehnologicheskih protsessov Borodin I. F., Sudnik IY. A. M.: izd.: KOLOSS, 2007g.
- Mazurov V.M. Teoreticheskie osnovy postroeniıa ASU TP. M. : Izd-vo RA, 2003 g – 436s.
