Course - Process Control - TKP4140
TKP4140 - Process Control
About
Examination arrangement
Examination arrangement: School exam
Grade: Letter grades
| Evaluation | Weighting | Duration | Examination aids |
|---|---|---|---|
| School exam | 100/100 | 4 hours | C |
Course content
- First-principle modelling of physical-chemical-biological processes. - Transcription into the state-space and linearisation yielding the classical {A,B,C,D} representation: the Linear Time-Invariant System. - Laplace transform and transfer function matrix. Graphical representation as block diagrams and frequency plots with a focus on Bode plots. - Stability for LTI systems: eigenvalue / pole criterion, Nyquist and Routh criterion. - Simple graphical process identification of first-order plus dead-time systems. - Model simplification starting with higher-order transfer functions. - SISO pole-placement design (direct synthesis, IMC) yielding variations of PID controllers. - SIMC PID tuning - On-Off control. - Introduction to computer-controlled systems - Discrete version of PID with filter and anti-windup. - Aliasing and filtering. - Advanced subjects: selection of observability and controllability, similarity transformation, MIMO-systems relative gain array, decoupling, cascade control, feedforward control, selectors, model-predictive control and supervisory control.
Learning outcome
At the end of the course the students should: - Know the fundamentals of modelling and linearization of dynamic processes. - Know basic control theory. - Understand the power and limitations of the feedback principle. - Understand how instability can occur in dynamic systems. - Know how to develop simple dynamic process models. - Know how to tune PID controllers.
Learning methods and activities
Lectures, exercises, compulsory computing and laboratory exercises.
Compulsory assignments
- Exercises
- Lab
- Project
Further on evaluation
If there is a re-sit examination, the examination form may be changed from written to oral.
Recommended previous knowledge
Basic physics and process technology including differential equations.
Course materials
D.E. Seborg, T.F. Edgar, D.A. Mellichamp: Process Dynamics and Control, Wiley, 4th ed. Hand outs.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| SIK2050 | 7.5 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2022
Language of instruction: English
Location: Trondheim
- Technological subjects
Department with academic responsibility
Department of Chemical Engineering