course-details-portlet

TK8109 - Advanced Topics in Guidance and Navigation

About

Lessons are not given in the academic year 2019/2020

Course content

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).

Learning outcome

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.

Required previous knowledge

TTK 4150 Nonlinear Systems, TTK4115 Linear System Theory and TTK 4190 Guidance and Control of Vehicles or similar background.

Course materials

Lecture notes, conference and journal papers.

More on the course

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

No

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Engineering Cybernetics
Contact information

Department with academic responsibility
Department of Engineering Cybernetics

Phone:

Timetable

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Examination

  • * 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.
Examination

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

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