Applied Guidance, Navigation and Control
About the course
The course can be taken as a single course.
The purpose of this course is to give the student an overview of the central topics and current state-of-the art within guidance, navigation and control of unmanned aerial vehicles. The technical topics will be presented throughout this course such as
- Guidance
- Path planning (Discrete planning, Sampling-based planning)
- Path smoothing methods (Spline interpolation)
- Path following
- Collision avoidance techniques
- Navigation
- State estimation
- Complementary filters
- Kalman Filters (EKF, MEKF, UKF)
- Particle filters
- Nonlinear Observers for aerial vehicles
- Visual odometry
- SLAM
- State estimation
- Control
- Linear control techniques (PID, LQR)
- Nonlinear control techniques for aerial vehicles
Admission requirements
A relevant undergraduate Bachelor Engineering program with minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics. Preferably within satellite engineering, telecommunications, electrical engineering or similar.
Application code: 9371
Objectives of the course
After passing the course, students will have the following learning outcomes:
Knowledge:
The student:
- has advanced knowledge of central topics within guidance, navigation and control of aerial vehicles.
- has knowledge of the current state-of-the art within guidance, navigation and control of aerial vehicles.
- can apply the knowledge to solve new challenges in the field of guidance, navigation and control of aerial vehicles.
Skills:
The student
- can analyze existing scientific literature, applied methods and work independently to solve theoretical and practical problems.
- can apply central methods in an independent project.
General competence:
The student
- can contribute to innovative projects related to the field.
- can communicate with specialists and nonspecialists about central topics within the field.
Prerequisites
Anbefalte forkunnskaper
ELE-3606 Control Engineering, MAT-3800 Linear Algebra II, STE-3800 Classical Mechanics
Teaching methods
Language of instruction and examination
EnglishExamination
| Oral exam | Date: 07.06.2024 08:00 Duration: 40 Minutes Weighting: 1/1 |
Grade: A–E, fail F |
| Assignment | Hand in: 03.06.2024 14:00 Weighting: 0/1 |
Grade: A–E, fail F |
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