22HPI45 - Process Control systems
| Course specification | ||||
|---|---|---|---|---|
| Course title | Process Control systems | |||
| Acronym | 22HPI45 | |||
| Study programme | ||||
| Module | ||||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 5.0 | Status | ||
| Condition | For attending the course: passed exams:Computer programming, Mechanical Operations, Heat transfer operations, Mass transfer operations, Basics of reaction engineering, exam prerequisits for Essentials of process control; For taking the exam: passed exam:Essentials of Process Control | Облик условљености | ||
| The goal | 1. Extending the students’ knowledge on process dynamics and classical methods of process control. 2. Learning about advanced and modern methods of process control. 3. Recognizing the significance of knowing the process dynamics in designing modern control systems for chemical industries. 4. Learning the mathematical tools and the necessary instrumentation for digital control systems | |||
| The outcome | Qualifying the students for: - Working in automated plants of process industries. - Specifying the instrumentation for control systems. - Participating in specialized teams for designing control systems for process industries - Applying the knowledgeof process dynamics and control in designing chemical processes. | |||
| Contents | ||||
| Contents of lectures | 1. State space model and dynamics of some typical equipment in chemical industries (chemical reactors, columns, heat exchangers etc.) 2. Feedback control - different methods for controller synthesis: semi-empirical methods, integral criteria, direct synthesis, internal model control 3. Advanced systems of process control based on feedback systems: cascade control, selective control, split-range control, feedback-feedforward control, inferential control, adaptive control 4. Modern approaches to control in process industries: multivariable control, model-predictive control. 5. Digital control systems: analog and digital signals, discrete dynamic models, discrete controllers, digital equipment in control systems; different levels of digital control (monitoring and data acquisition, DDC, SCADA, DSC). 6. Practical aspects: process and instrumentation diagrams for control of some typical equipment in chemical industries; plant-wide control. | |||
| Contents of exercises | Exercises in a computer laboratory.Two project assignments. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 2 | |||
| Methods of teaching | Theoretical lessons with simple examples, exercises in the computer laboratory, project assignments, consultations | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | Test paper | 50 | ||
| Practical lessons | Oral examination | |||
| Projects | 50 | |||
| Colloquia | ||||
| Seminars | ||||