Measurment and Automatic Process Control

NAME OF THE COURSE Measurment and Automatic Process Control

Code

KTC109

Year of study

1.

Course teacher

Prof Nenad Kuzmanić

Credits (ECTS)

4.0

Associate teachers

ScD Antonija Čelan

Type of instruction (number of hours)

P S V T

30

0

8

7

Status of the course

Mandatory

Percentage of application of e-learning

0 %

COURSE DESCRIPTION

Course objectives

The objective is to familiarize students with process measurements, metrology, and metrology infrastructure as well as with different methods of automatic process control in environmental protection engineering.

Course enrolment requirements and entry competences required for the course

 

Learning outcomes expected at the level of the course (4 to 10 learning outcomes)

After passing the exam, student is expected to be able to:
- analyze the importance of measuring process variables for the purpose of process control,
- select an appropriate measuring instrument for the purpose of process control
- in different segments of environmental protection engineering,
- understand the basic concepts of the process control theory,
- define and explain the role of the basic components of automatic control system,
- calculate the basic data needed to run a system as well as to predict its dynamic behavior.

Course content broken down in detail by weekly class schedule (syllabus)

Week 1: The basic principles of measurement systems used for process control in environmental protection engineering. Control loop, elements of the control loop.
Week 2: Development of dynamic models of the process.
Week 3: Measuring sensor and transmitter and their general features.
Week 4: Calibration of measuring instruments to national standards. Repeatability and reproducibility of measurements.
Week 5: Temperature sensors and transducers. Pressure sensors and transducers.
Week 6: Flow sensors and transducers. Level sensors and transducers.
Week 7: Control of physical variables in a bioreactor (temperature, pressure, flow, level).
Week 8: Monitoring and control of chemical and biological indicators of the state of a bioprocesse in bioreactors (pH, redox potential, dissolved oxygen, CO2 ...).
Week 9: Proportional, integral, and derivative actions of a controller. Control loop design. P & ID diagrams.
Week 10: Basic terms, means and methods of process control. Automatic stabilization. Sequential control. Feedback and feedforward control.
Week 11: Process control methods: cascade, feedforward and multivariable process control.
Week 12: Modern industrial controllers. Instruments management system. Control valves.
Week 13: The use of artificial intelligence algorithms for monitoring and control in biotechnological processes.
Week 14: Modern control systems. Distributed control systems. Process control of batch and continuous processes.
Week 15: Examples of process control in environmental protection engineering.

Format of instruction:

Student responsibilities

 

Screening student work (name the proportion of ECTS credits for eachactivity so that the total number of ECTS credits is equal to the ECTS value of the course):

Class attendance

1.5

Research

0.0

Practical training

1.0

Experimental work

0.0

Report

0.0

 

 

Essay

0.0

Seminar essay

0.0

 

 

Tests

0.0

Oral exam

4.5

 

 

Written exam

0.0

Project

0.0

 

 

Grading and evaluating student work in class and at the final exam

A student can pass a part or the entire exam by taking two partial tests during the semester. In order to pass the test, student should achieve a minimum score of 55%. Final grade is based on an average of the scores on both tests: 55%-66% - satisfactory, 67%-78% - good, 79%-89% -very good, 90%-100% - excellent.
Students who do not pass partial tests have to take an exam in a regular examination periods. Final grade is determined by previously notated criteria.

Required literature (available in the library and via other media)

Title

Number of copies in the library

Availability via other media

Božičević, J. (1992). Temelji automatike I i II, Školska knjiga, Zagreb

6

R. Žanetić, Vođenje procesa u proizvodnji, Interna skripta, KTF, Split, 2006.

0

Web stranica KTF

N. Bolf, Mjerenja i automatsko vođenje procesa, Interna skripta, FKIT, Zagreb, 2007. N. Prljača, Z. Šehić, Automatsko upravljanje: analiza i dizajn. Mikroštampa, Tuzla, 2008. J. Marasović, Temeljni postupci u automatici, Interna skripta, FESB, Split,

0

Praćenje kvalitete i uspješnosti obavljat će se na tri razin

Ostalo (prema mišljenju predlagatelja)

0

Optional literature (at the time of submission of study programme proposal)

N. Bolf, Mjerenja i automatsko vođenje procesa, Interna skripta, FKIT, Zagreb, 2007.
N. Prljača, Z. Šehić, Automatsko upravljanje: analiza i dizajn. Mikroštampa, Tuzla, 2008.
J. Marasović, Temeljni postupci u automatici, Interna skripta, FESB, Split, 2001.
D. E. Seborg, T. F. Edgar, D. A. Mellichamp, Process Dynamics and Control, 2nd Edition, Willey International, New Jersey, 2003.
T. Marlin, Process Control: Designing Processes and Control Systems for Dynamic Performance, 2nd Edition, McGraw-Hill Science, New York, 2000.

Quality assurance methods that ensure the acquisition of exit competences

Quality assurance will be performed at three levels:
(1) University Level;
(2) Faculty Level by Quality Control Committee;
(3) Lecturer’s Level.

Other (as the proposer wishes to add)