Course - Advanced Topics in Guidance and Navigation - TK8109
TK8109 - Advanced Topics in Guidance and Navigation
Lessons are not given in the academic year 2019/2020
The course is given every second year, next time Fall 2020.
Guidance and navigation system for ships, aircraft and unmanned vehicles including AUV, UAV and USV systems. Path planning (Dubbins, clothoids, Pythagorian hodographs, splines, Voronoi diagrams, etc.), collision avoidance and classical guidance principles. Estimator-based navigation with focus on Kalman filtering and nonlinear methods (Lyapunov methods) for integration of satellite and inertial navigation systems (INS). Loosely and tightly integrated INS. Attitude estimation and representation of different estimators on SO(3) using nonlinear observer theory and the multiplicative extended Kalman filter (MEKF).
KNOWLEDGE: In-depth knowledge of design and analysis of state estimators for navigation systems. Focus is placed on inertial navigation systems and aiding techniques. Guidance and navigation systems for ship, aircraft and unmanned vehicles. Knowledge of inertial sensors and global navigation systems.
SKILLS: Be able to model, simulate and implement navigation systems for unmanned underwater vehicles and aerial vehicles, ships, aircraft and satellites. Understand how Kalman filters and nonlinear observers are used to estimate position, velocity and attitude of moving objects.
GENERAL COMPETENCE: Skills in applying this knowledge and proficiency in new areas and complete advanced tasks and projects. Skills in communicating extensive independent work, and master the technical terms of nonlinear observer theory. Ability to contribute to innovative thinking and innovation processes.
Learning methods and activities
Lectures, study groups and independent study. Mandatory computer assignments. Oral examination. Th re-sit examination is also oral. The exam is only given in English.
Recommended previous knowledge
Background in nonlinear systems, stability theory, kinematics, vehicle dynamics and Kalman filtering.
Required previous knowledge
TTK 4150 Nonlinear Systems, TTK4115 Linear System Theory and TTK 4190 Guidance and Control of Vehicles or similar background.
Lecture notes, conference and journal papers.
Credits: 7.5 SP
Study level: Doctoral degree level
Language of instruction: English
- Engineering Cybernetics
Department with academic responsibility
Department of Engineering Cybernetics
- * The location (room) for a written examination is published 3 days before examination date.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"