Automation of Technical Processes
Description: In the process of training the formation of students ' knowledge on the construction and use of automatic control systems, regulation and control of technological processes, the basic principles of management, knowledge of the structure of the control system, the problem of stability and quality of regulation of closed systems, the basic laws of regulation
Amount of credits: 5
Пререквизиты:
- Physics
Course Workload:
Types of classes | hours |
---|---|
Lectures | 30 |
Practical works | 15 |
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: Component by selection
Cycle: Base disciplines
Goal
- is the formation of students' knowledge on the construction and use of automatic control systems, regulation and control of technological processes in enrichment.
Objective
- As a result of studying the discipline, students must learn the basic principles of management, know the structure of the regulatory system, the stability problem and the quality of regulation of closed systems, the basic laws of regulation. Know the principles of measuring the composition of substances, temperature, humidity, flow rate and other most important parameters of technological processes, have an idea of measuring transducers, regulators, actuators and means of displaying information. Be able to use project documentation for automation
Learning outcome: knowledge and understanding
- To know the principles of measuring the composition of substances, temperature, humidity, flow rate and other most important parameters of technological processes, to have an idea of measuring transducers, regulators, actuators and means of displaying information.
Learning outcome: applying knowledge and understanding
- Know the principles of measuring the composition of substances, temperature, humidity, flow rate and other most important parameters of technological processes in enrichment, have an idea of measuring transducers, regulators, actuators and means of displaying information.
Learning outcome: formation of judgments
- To be able to use the project documentation for automation, to have an idea of typical automatic control and management systems and automated process control systems (APCS) in enrichment.
Learning outcome: communicative abilities
- The course plays an important role in the training of engineers, since automation facilities are widely used in enterprises, the correct use of which is possible only if there is knowledge and skills in this area.
Learning outcome: learning skills or learning abilities
- To be able to use project documentation for automation, to get an idea of standard systems of automated control systems and automation (ATP).
Teaching methods
When conducting training sessions, the following educational technologies are provided: - interactive lecture (the use of the following active forms of training: guided (guided) discussion or conversation; moderation; demonstration of slides or educational films; brainstorming; motivational speech); - building scenarios for the development of various situations based on the specified conditions; - information and communication (for example, classes in a computer class 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 works | 0-100 |
Practical works | ||
Practical works | ||
Control work/testing | ||
Colloquium 1,2 | ||
2 rating | Practical works | 0-100 |
Practical works | ||
Practical works | ||
Control work/testing | ||
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
- Introduction
- Coordination of controls with automatic regulation
- Information about the structure of technical means of automation and control of technological processes and complexes
- Means of using command information (actuating mechanisms, power amplifiers)
- Automation of continuous and discrete technological processes
- Specificity of periodic and discrete processes as control objects
- System approach to managing complex systems
- Modeling of objects and systems
- Problems and algorithms for optimal control of technological processors
- Comparative analysis of optimization algorithms for static modes
- Examples of algorithms for optimal control of technological modes of objects
- Automated control systems for technological processes
- The composition of the process control system
Key reading
- Teoriıa avtomaticheskogo regulirovaniıa.- CHast pervaıa. Pod red. A. A. Voronova. M. : Vysşaıa şkola, 1986.
- Fedorov Yu.N. Spravochnik inzhenera po ASUTP: proektirovanie i razrabotka. Razdel: Avtomatizaciya → ATPP, ASUTP, SCADA – M.: InfraInzheneriya, 2008 g. 928 s.
- Shishmarev V.Yu. Avtomatizaciya tekhnologicheskih processov: ucheb. posobie. - M.: ACADEMIA, 2017 - 351 s.
- Kangin, V.V. Promyshlennye kontrollery v sistemah avtomatizacii tekhnologicheskih processov: Uchebnoe posobie / V.V. Kangin. - St. Oskol: TNT, 2013 - 408 c.