NAME OF THE COURSE |
Measurment and Automatic Process Control |
Code |
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Course teacher |
Prof Nenad Kuzmanić |
Credits (ECTS) |
4.0 |
|
Associate teachers |
Asst Prof Antonija Čelan |
Type of instruction (number of hours) |
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Status of the course |
Mandatory |
Percentage of application of e-learning |
0 % |
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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 |
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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: |
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Student responsibilities |
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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 |
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Essay |
0.0 |
Seminar essay |
0.0 |
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Tests |
0.0 |
Oral exam |
4.5 |
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Written exam |
0.0 |
Project |
0.0 |
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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 |
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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.
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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) |
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