EPN-V2

ACIT4020 Robotics and Control Project Course description

Course name in Norwegian
Robotics and Control Project
Weight
10.0 ECTS
Year of study
2020/2021
Course history
  • Introduction

    For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

  • Required preliminary courses

    Two internal examiners. External examiner is used periodically.

  • Learning outcomes

    Knowledge

    Upon successful completion of the course, the student should:

    • have advanced knowledge on aerial robotic system components and architecture
    • have advanced knowledge on rules and regulations regarding RPAS/UAS systems
    • have advanced knowledge in modeling and simulation of aerial robotic systems
    • have advanced knowledge in common sensors, actuators, communication devices, video transmission, and hardware component technologies used in aerial robots
    • have deep knowledge of algorithms and methods used in navigation, guidance and control of aerial robots

    Skills

    Upon successful completion of the course, the student:

    • can analyze aerial robotic systems with regard to its components, architecture, and their purpose
    • can model, analyze, and simulate aerial robotic systems
    • can apply a number of algorithms and methods in navigation, guidance, and control of aerial robots

    General competence

    Upon successful completion of the course, the student:

    • can discuss the role of aerial robotic systems in a number of practical applications
  • Content

    Topics covered in this course:

    • Introduction to aerial robotics
    • Rules and regulations regarding RPAS/UAS
    • Kinematic and dynamic modelling
    • Navigation, guidance, and control
    • Hardware components and software architectures
  • Teaching and learning methods

    Basic course in control, signals and systems. Basic understanding of matrix algebra, statistics, and programming using MATLAB or similar.

  • Course requirements

    • Data driven dynamic modelling (system identification)
    • State estimation
    • Multivariable control algorithms
    • Predictive control algorithms
    • Simulation and control of dynamic systems

  • Assessment

    The final grade will be based on:

    • Individual written/digital exam 3 hours duration 50%
    • Individual or group (2 - 5 students) project work (15 - 30 pages) 50%

    The percentage is an indication of relative weight. The assessment of the project takes the size of the group into account and a somewhat larger project report is expected with larger groups.

    Both exams must be passed in order to pass the course.

  • Permitted exam materials and equipment

    None.

  • Grading scale

    For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

  • Examiners

    Two internal examiners. External examiner is used periodically.