AIS2002 - Control Systems Engineering


Examination arrangement

Examination arrangement: Portfolio
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio 100/100

Course content

The course contains the following topics, with an emphasis on practical use of digital tools and lab work:

  • The Laplace transform and modelling of dynamical systems using ordinary differential equations and transfer functions
  • Introduction to nonlinearities and linearisation
  • Poles, zeros, time response and characteristics of 1st and 2nd order systems
  • Basic stability theory
  • Construction and reduction of block diagrams
  • Steady state error analysis
  • Introduction to root locus and the effect of gain changes
  • Analysis and design of the proportional controller and velocity feedback
  • Analysis and design of PI, PD, and PID controllers
  • Examples of other control schemes may be introduced

The course emphasises use of theory and methods in the frequency (Laplace) domain. There may be overlap with topics in the course AIS2102 Dynamical Systems but the latter emphasises theory and methods in the time domain.

Learning outcome


  • The candidate can describe the purpose of a control system and the basic principles for analysis and design of control systems.
  • The candidate can define basic control schemes and explain the main principles and purpose of various components.
  • The candidate can explain the connection between ordinary differential equations and transfer function.
  • The candidate can explain transient response and steady state response, including concepts such as error, time to peak, rise time, overshoot, settling time, stability, and how these can be specified.
  • The candidate can explain how a regulated system is affected when using a P controller, velocity feedback, variants of PID control, and possibly other control schemes, with respect to system performance.


  • The candidate can model basic electrical, mechanical, and electromechanical systems by means of ordinary differential equations and transfer functions.
  • The candidate can characterise dynamical systems qualitatively based on properties of the transfer function and quantitatively through mathematical analysis and simulation.
  • The candidate can construct and reduce block diagrams for dynamical processes.
  • The candidate can tune regulators through practical experiments or mathematical computation, and verify the results through simulation or physical measurements.
  • The candidate can compute how disturbances can affect both the controlled and uncontrolled system.
  • The candidate can perform basic stability analysis.
  • The candidate can use digital tools for all of the above.

General competence

  • The candidate can use digital tools for modelling, simulation, analysis and control of dynamical systems
  • The candidate can present control problems and solution methods to a technical audience
  • The candidate can examine societal and ethical consequences of using control systems

Learning methods and activities

Learning activities include lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Compulsory assignments

  • Assignments

Further on evaluation

The final grade is based on an overall evaluation of the portfolio, which consists of a number of works delivered through the semester. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. The re-sit exam is an oral exam.

Mandatory assignments will be provided and 80 % of the assignments must be approved to qualify for the final exam. The assignments will be approved following a discussion on individual submissions.

Specific conditions

Admission to a programme of study is required:
Automation and Intelligent Systems (BIAIS)

Required previous knowledge

The course has no prerequisites. It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

An updated course overview, including curriculum, is presented at the start of the semester and will typically also include English material.

Credit reductions

Course code Reduction From To
IELEA2002 7.5 AUTUMN 2021
IELEG2002 7.5 AUTUMN 2021
IELET2002 7.5 AUTUMN 2021
IE203612 7.5 AUTUMN 2021
More on the course



Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: Norwegian

Location: Ålesund

Subject area(s)
  • Process Control
  • Engineering Cybernetics
  • Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of ICT and Natural Sciences


Examination arrangement: Portfolio

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio 100/100





Room Building Number of candidates
Summer UTS Portfolio 100/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU