Dynamic systems – modeling, simulation and control (5 cr)
Code: AT22IS02-3001
General information
Enrollment
15.06.2022 - 11.09.2022
Timing
29.08.2022 - 27.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Automation Technology
Teachers
- Joachim Böling
- Ray Pörn
Teacher in charge
Ray Pörn
Groups
-
AT22HP-VAutomation Technology, 2022, part-time studies
Objective
Systems thinking is the holistic approach to a field of science, where cause and effect are entangled in a feedback network. The field of automation relies on systems thinking in the way it examines the feedback system and process dynamics in general. Ways of describing these dynamic systems are through modeling and identification. The course aims at introducing the above to the students to achieve a common platform of knowledge.
Knowledge and understanding
After completing the course, the student should be able to:
- recognize and describe common dynamic process systems
- explain the difference between various systems
- describe the practical usage of some process models
Skills and abilities
After completing the course, the student should be able to:
- create and simulate process models
- experiment with different process models in automation and control
- perform basic identification of processes
Evaluation ability and approach
After completing the course, the student should be able to:
- justify the choice of a process model
- evaluate and report on the choice of a model
Content
The contents of the course are concept and principles of dynamic systems, system modeling and simulation, techniques for system identification, optimization methods and feedback control.
Materials
See moodle page or course info
Teaching methods
Lectures, exercises and laboratory work
Completion alternatives
Assignments, exams or group work
Student workload
A total of 125 h
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Satisfactory skills in systems thinking, dynamic systems, modeling, identification, optimization and control.
Assessment criteria, good (3)
Good skills in systems thinking, dynamic systems, modeling, identification, optimization and control.
Assessment criteria, excellent (5)
Excellent skills in systems thinking, dynamic systems, modeling, identification, optimization and control.
Assessment methods and criteria
See moodle page or course info on peppi
Qualifications
No prerequisites