Basis of technological prosses automation

Kadyroldina Albina Talapzhanovna

The instructor profile

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:

  • Basic of metallurgy

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 Writting exam

Component: Component by selection

Cycle: Base disciplines

Goal
  • The purpose of studying the discipline "Fundamentals of Automation of Technological Processes" is to form students' knowledge on the construction and use of automatic control systems, regulation and control of technological processes in metallurgy.
Objective
  • As a result of studying the discipline, students must learn the basic principles of management, know the structure of the regulatory system, the problem of stability and 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 important parameters of technological processes in metallurgy, have an idea about measuring transducers, regulators, actuators and means of displaying information. Be able to use project documentation for automation, have an idea about typical automatic regulation and control systems and automated process control systems (APCS) in enrichment. Have practical skills in taking the dynamic characteristics of automation objects, calculating the settings for regulators, studying the quality of the automatic control systems.
Learning outcome: knowledge and understanding
  • Know the principles of measuring the composition of substances, temperature, humidity, flow and other important parameters of technological processes in metallurgy, have an idea about 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 important parameters of technological processes in enrichment, have an idea about measuring transducers, regulators, actuators and means of displaying information.
Learning outcome: formation of judgments
  • Be able to use design documentation for automation, have an idea about typical automatic regulation and control systems and automated process control systems (APCS) in metallurgy.
Learning outcome: communicative abilities
  • The course plays an important role in the professional training of metallurgical engineers, since automation tools are widely used at metallurgical enterprises, the correct use of which is possible only with knowledge and skills in this area.
Learning outcome: learning skills or learning abilities
  • Be able to use project documentation for automation, have an idea about typical automatic control and management systems and automated process control systems (APCS).
Teaching methods

When conducting training sessions, the use of the following educational technologies is envisaged: - 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 Practice work 1 0-100
Practice work 2
Practice work 3
Test
2  rating Practice work 4 0-100
Practice work 5
Practice work 6
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
Topics of lectures
  • Modern industrial production and process control systems
  • Processing of technological information
  • Technical means of automation of typical technological processes
  • Communication of UVM with a technical object
  • Functional diagrams of measurement and automation systems
  • Automated process control systems
  • Static and dynamic characteristics
  • Experimental methods for determining the dynamic characteristics of the control object
  • Experimental methods for determining the dynamic characteristics of the control object
  • Selecting a controller and defining its settings
  • Typical nodes of systems for automatic regulation and control of technological processes
  • Digital control systems
  • Intelligent control systems
Key reading
  • Afonin, A.M. Teoreticheskie osnovy razrabotki i modelirovaniya sistem avtomatizacii: Uchebnoe posobie / A.M. Afonin, YU.N. Caregorodcev, A.M. Petrova. - M.: Forum, 2017. - 336 c.
  • Panteleev, V.N. Osnovy avtomatizacii proizvodstva. Laboratornye raboty: Uchebnoe posobie / V.N. Panteleev. - M.: Academia, 2018. - 400 c.
  • SHishmarev, V.YU. Osnovy avtomatizacii tekhnologicheskih processov: Uchebnik / V.YU. SHishmarev. - M.: KnoRus, 2018. - 160 c.
  • Gromakov E.I., Liepin'sh A.V. Proektirovanie avtomatizirovannyh sistem. Uchebno-metodicheskoe posobie. - Tomsk: TPU, 2019. - 360 c.