13E054AVO - Automatic Guidance of Objects in Space

Course specification
Course title Automatic Guidance of Objects in Space
Acronym 13E054AVO
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition none
The goal Introduce students to the fundamentals of modeling of object’s space motion, guidance methods, physical and dynamic aspects of moving object trackers, as well as of equipment and algorithms used in the autopilot design. Understanding of the nature of guidance process from maneuver requirements, stability, physical nature of system noise and disturbances, and overall accuracy aspects of view.
The outcome Understanding of the nature of guidance process from the aspects of: dynamics, maneuver requirements, stability, nature of noise and disturbances, and accuracy. Enabling the students for modeling of a guidance process and analysis and syntesis of guidance and control systems.
Contents of lectures Kinematic model: coordinate frames of interest, calculation of object’s position, velocity, and acceleration. Dynamic model: forces and moments acting on the object, disturbances, aerodynamic transfer functions. Guidance methods for two and three point guidance. Accuracy analysis of proportional navigation. Physical and dynamic aspects of target trackers. Autopilot modeling and analysis and design
Contents of exercises Examples of guidance and stabilization systems: Automatic aircraft landing system, angular stabilization of an artificial orbital Earth satellite. Realization of simulation models of guidance process, target tracking, and angular stabilization of an flying object.
  1. S. Graovac: "Automatic management of objects in space," Academic mind, 2005.
  2. P. Zarchan: "Tactical and Strategic Missile Guidance", American Institute of Aeronautics and Astronautics, 1997.
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 1 1
Methods of teaching Lectures, exercises on computer, analysis of recommended literature, individual home-works, and projects.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 50
Practical lessons 0 Oral examination 0
Projects 50
Colloquia 0
Seminars 0