Course

Control Systems (ELE320)

The content is related to automation and control of industrial process, including matematical modeling and simulation, state space analysis, transfer functions, frequency response analysis, and tuning of standard controllers (P, PI, PID).


Course description for study year 2025-2026. Please note that changes may occur.

Facts

Course code

ELE320

Credits (ECTS)

10

Semester tution start

Autumn

Language of instruction

English

Number of semesters

1

Exam semester

Autumn

Time table

View course schedule

Literature

Search for literature in Leganto

Content

Introduction to mathematical modeling using linear differential equations. Laplace transform. Transfer functions. Block diagrams. Time response of first and second order systems. Stability of feedback systems. Stability criteria. Standard controllers (P, PI, PID). State space representation. Linearization of nonlinear systems. Root locus. Frequency response.

Learning outcome

  • To understand the concept of mathematical modelling and simulation of systems described by differential equations.
  • Knowledge of the use of MATLAB to simulate systems
  • To understand the concept of negative feedback
  • To present mathematical models as block diagrams
  • To find transfer functions and to perform the frequency response analysis
  • To investigate stability issues and tune standard regulators (P, PI, PID).
  • To have a basic understanding of systems analysis and control design techniques.
  • To organize models as state space models and to perform linearization of nonlinear systems.

Required prerequisite knowledge

Mathematical Methods 2 (ÅMA260)

Recommended prerequisites

Mathematical Methods 2 (MAT200), HSE-course for bachelor students (TN101), Mathematical Methods 2 (ÅMA260)

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades - 1), No printed or written materials are allowed. Approved basic calculator allowed

1) Wolframalpha

Digital exam in Inspera.

Access to the basic version of Wolframalpha will be granted as "hjelpemiddel" during the exam as an Inspera resource.

Coursework requirements

Exercises, Lab.exercises

8 theoretical assignments of which 4 must be approved. 6 compulsory lab assignments.

Mandatory work demands (such as hand in assignments, lab- assignments, projects, etc) must be approved by the course teacher within the specified deadlines.

Course teacher(s)

Head of Department:

Tom Ryen

Laboratory Engineer:

Didrik Efjestad Fjereide

Course teacher:

Damiano Rotondo

Course coordinator:

Damiano Rotondo

Method of work

The course will have eight hours of lectures per week, which will be used to cover the theoretical content of the course, to solve exercises, and for gamified recaps.

Between two and four student assistance sessions will be arranged each week, where the students can get help with solving the obligatory assignments.

Open for

Battery and Energy Engineering - Bachelor in Engineering Electrical Engineering, Vocational Path - Bachelor's Degree Programme Electrical Engineering - Bachelor's Degree Programme Energy and Petroleum Engineering, Vocational Path - Bachelor in Engineering Energy and Petroleum Engineering - Bachelor in Engineering Mechanical Engineering - Bachelor in Engineering Medical technology - Bachelor in Engineering Petroleum Technology - Bachelor in Engineering
Admission to Single Courses at the Faculty of Science and Technology
Industrial Economics - Master of Science Degree Programme, Five Year Industrial Automation and Signal Processing - Master's Degree Programme - 5 year Robot Technology and Signal Processing - Master's Degree Programme
Exchange programme at Faculty of Science and Technology

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Contact

Head of Department:

Tom Ryen

Laboratory Engineer:

Didrik Efjestad Fjereide

Course teacher:

Damiano Rotondo

Course coordinator:

Damiano Rotondo

Offered by

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

The course description is retrieved from FS (Felles studentsystem). Version 1