MS1AUK - Automatic Motion Control

Course specification
Course title Automatic Motion Control
Acronym MS1AUK
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 6.0 Status elective
        Condition no
        The goal Introducing the students with fundamentals of modeling of object's motion in space, guidance methods, navigation, and stabilization along the nominal trajectory. Introducing the application of optimal methods of estimation and control in order to control the motion.
        The outcome Understanding the nature of motion control process from the aspects of: object's dynamics, maneuver requirements, stability, nature of noise and disturbances, and the accuracy. Enabling the students for modeling of motion control and navigation processes nad system synthesis.
        Contents of lectures Kinematic model of motion, Coordinate systems and transformations between them, Dynamic model of flight, Methods of proportional navigation, extended proportional navigation, and optimal homing, Autonomous systems - navigation and autopilots. Application of optimal estimation methods.
        Contents of exercises Case studies: analysis of homing missiles, integration of navigation systems, automatic control of robot motion. Individual realizations of simulation models of guidance, navigation, and tracking systems
        1. S. Graovac: "Automatsko vođenje objekata u prostoru", Akademska misao, 2005. (Original title)
        2. P. Zarchan: "Tactical and Strategic Missile Guidance", American Institute of Aeronautics and Astronautics, 1997. (Original title)
        3. J. A. Farrel, M. Barth: "The Global Positioning System & Inertial Navigation", McGraw-Hill, 1999. (Original title)
        4. A. Lawrence: "Modern Inertial Technology", Springer, 1998. (Original title)
        5. K. Kanatani: "Geometric Computation for Machine Vision", Clarendon Press, 1993. (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        3 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 20
        Practical lessons 20 Oral examination 20
        Projects 40
        Colloquia 0
        Seminars 0