Modelling and simulation of process systems (5 cr)

Course material

1. Learn materials.
2. Dorf, C.D., Bishop, R.H., Modern Control Systems, 10. edition or some later edition, Addison-Wesley, USA 2005, 881 s.
3. Harju, T., Marttinen, A., Säätöpiirin virityksen perusteet, Control CAD, Espoo 2001, 166 s.

Study forms and methods

After completing this course, you will be able to
* derive for dynamic phenomena differential equation models based on first principles
* design and realize process experiments, analyze them and create continuous and discrete models based on sampled data
* present the arrangement and realization of multivariable control methods used in energy production and other process industries
* apply simulation and design program tools to the description of process systems.
How would you create dynamic flow balance and heat balances of a flow-through tank using differential equations for Matlab Simulink simulations
How would you realize a process experiment of a heat exchanger and work out a time-series model based on sampled data and describing heat content, using Matlab Identification Toolbox?
Why could fuzzy logic or modelpredictive control improve the quality of products or the energy efficiency of a process plant?
Why is Matlab Simulink very widely used as a basic modelling and simulation tool, and how are you able to utilize Matlab in simulations of processes?

Scheduled track:
Lectures, supervised simulation projects and computing exercises

Independent track:
Exam and project integrated in one's own work.

Blended track:
Exam and intended training projects.

RDI and work-related cooperation

RDI work is not included in the course.

Student workload

16 h lectures
20 h Matlab Simulink simulations and computing exercises
99 h other self-study

Evaluation scale

1-5

Assessment methods and criteria

Exam (50 %) and Matlab Simulink projects (50 %), with grades 0 - 5.