Table of contents

The course is connected to the following study programs

  • Mechatronics, Bachelor's Programme

Teaching language

Norwegian/Scandinavian or English

Recommended previous knowledge

MAS134-G Electrical Circuits and Digital Engineering, MA178-G Mathematics 1, MA179-G Mathematics 2, or equivalent. It is assumed that the student follows MAS239-G Regulatory Technique 1 in parallel with or has taken it in advance of the course.

Learning outcomes

The project is based on knowledge from the subjects control system, Mechatronics and Statistics. The course will be a hands-on multidisciplinary project that will provide students with practical skills and knowledge in measurement, instrumentation and control techniques, actuation and data processing. The course will use Matlab Simulink and Arduino as a development platform. The course combines mechanics and electronics with the help of a control system that is realized using algorithms. The algorithms are run on a microcontroller programmed using Matlab / Simulink.

The following is reviewed:

  • Closed loop temperature controls (Heating element and temperature sensor)
  • Power measurement and power management (instrumentation amplifier and tension valves, power measurement)
  • Open loop speed control and closed loop position control
  • Servo RC
  • 1D helicopter control
  • 2D helicopter control
  • Magnetic Levitation

Contents

The project is based on knowledge from the subjects control system, Mechatronics and Statistics. The course will be a hands-on multidisciplinary project that will provide students with practical skills and knowledge in measuring, instrumentation and control techniques, actuation and data processing. The course will use Matlab Simulink and Arduino as a development platform. The course combines mechanics and electronics with the help of a control system that is realized using algorithms. The algorithms are run on a microcontroller programmed using Matlab / Simulink.

Teaching and learning methods

Practical work in the laboratory and in the workshop. The course uses updated digital tools in connection with report writing, calculations, drawing and simulations.

Expected workload for the average student is 27 hours per credits.

Examination requirements

Satisfactory submission of mandatory project report.

Examinations

Project work carried out in group, with oral presentation and defense of the project. Individual assessment. Graded assessment.

Student evaluation

The person responsible for the course, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.

Offered as a free-standing course

Yes. Subject to availability or capacity.
Last updated from FS (Felles studentsystem) Oct. 15, 2026 10:58:29 AM