Measurment and Automatic Process Control

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Status of the course

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