Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

    címtáras azonosítással

    vissza a tantárgylistához   nyomtatható verzió    

    Industrial Informatics

    A tantárgy neve magyarul / Name of the subject in Hungarian: Ipari informatika

    Last updated: 2021. február 24.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics

    BSc in Computer Engineering
    System design study specilaization

    Course ID Semester Assessment Credit Tantárgyfélév
    VIIIAC02 6 2/1/0/v 4  
    3. Course coordinator and department Dr. Kiss Bálint,
    4. Instructors

    Dr. Bálint Kiss (associate professor, Department of Control Engineering and Information Technology)
    Gábor Kovács (lecturer, Department of Control Engineering and Information Technology)

    6. Pre-requisites
    ((Szakirany("AMINrendsztervAUT", _) VAGY
    Szakirany("AMINrendsztervIIT", _) VAGY
    Szakirany("AMINrendsztervMIT", _) VAGY
    Szakirany("AMIaut", _) )

    VAGY Training.code=("5NAA8") )

    ÉS NEM ( TárgyEredmény( "BMEVIIIA358" , "jegy" , _ ) >= 2
    TárgyEredmény("BMEVIIIA358", "FELVETEL", AktualisFelev()) > 0)

    A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

    A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

    7. Objectives, learning outcomes and obtained knowledge

    Provide in-depth knowledge and competences for  tasks realted to the development and realization of a real-time sense-think-act loops in autonomous systems. The course peresnets the concpets using the most widely used development environments.

    8. Synopsis
    Week 1: Rapid control prototyping methodologies for autonomous systems. Features and services of rapid control prototyping environments. V-model of the design process, diagram-based tools.
    Week 2: Graphical programming paradigms The LabVIEW environment, the G language, flow control structures.
    Week 3: Parallel execution in LabVIEW and the use of design patterns.
    Week 4: Iteration of a LabVIEW program, supporting numerical methods, algebraic loops, numerical integration.
    Week 5: Iteration of Simulink models, block libraries, sample time management.
    Week 6: User-defined functions and S-function structures in Simulink.
    Week 7: Code generation and acceleration of the iteration. Mex files, services of the Matlab compiler.
    Week 8: Iteration on real-time targets, automatic code generation, link with the generated code, run-time services.
    Week 9: Services supported by code generation: software-in-the-loop, processor-in-the-loop and hardware-in-the-loop simulations.
    Week 10: Simulink Coder and example of available targets (NI, dSPACE, Quanser, etc.).
    Week 11: Development cycles and procedures using rapid control prototyping, data logging and processing services.
    Week 12: Control loops and their descriptions, state-space equations.
    Week 13: State-space design of SISO LTI control loops (state feedback, state observers).
    Week 14: Summary, case studies about the application of rapid control prototyping technologies.
    Practice sessions (7 sessions of two contact hours):
    Session 1: Use of the LabVIEW environment, part 1.
    Session 2: Use of the LabVIEW environment, part 2.
    Session 3: Simulation of dynamical systems, ODE solvers.
    Session 4: Use of Simulink and creation of user-defined blocks.
    Session 5: Automatic code generation in Simulink.
    Session 6: State-space feedback design in continuous and discrete-time.
    Session 7: Observer design and implementation.
    9. Method of instruction Two hours of lectures and one hour of computer room practice weekly.
    10. Assessment

    During the period of classes: miderm
    During the period of exams: comprehensive exam

    11. Recaps One retake of the midterm is possible during the period of classes. No retake of the midterm is possible during retake week.
    12. Consultations On request.
    13. References, textbooks and resources
    Dirk Abel, Alexander Bollig. Rapid Control Prototyping, Springer, 2006
    Material available electronically on the page of the subject
    14. Required learning hours and assignment
    Contact hours (lectures and practice sessions)42
    Study & preparation for the lectures14
    Study & preparation for the practice sessions14
    Study for the midterm14
    Study for the exam36
    15. Syllabus prepared by

    Dr. Bálint Kiss (associate professor, Department of Control Engineering and Information Technology)
    Gábor Kovács (lecturer, Department of Control Engineering and Information Technology)