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

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    Robotized Manufacuring Systems Laboratory

    A tantárgy neve magyarul / Name of the subject in Hungarian: Robotizált gyártórendszerek laboratórium

    Last updated: 2024. február 24.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics
    Bachelor's degree (BSc), electrical engineering
    Embedded and control systems specialization
    Course ID Semester Assessment Credit Tantárgyfélév
    VIIIAC07 6 0/0/3/f 5  
    3. Course coordinator and department Gincsainé Dr. Szádeczky-Kardoss Emese,
    Web page of the course https://edu.vik.bme.hu
    4. Instructors
    Emese Gincsainé Dr. Szádeczky-Kardoss, Associate Professor, Department of Control Technology and Information Technology.
    Zoltán Gyenes, lecturer, Department of Control Technology and Information Technology.
    Dr.habil. István Harmati, Associate Professor, Department of Control Technology and Information Technology.
    Dr. Bálint Kiss, Associate Professor, Department of Control Technology and Information Technology.
    5. Required knowledge Features and programming of PLCs, structure and programming of industrial robotic arms, control systems, digital technology
    6. Pre-requisites
    Ajánlott:
    Robotized Manufacuring Systems
    7. Objectives, learning outcomes and obtained knowledge The aim of the subject is to provide students with practical knowledge about the application of devices widely used in automated and robotized production systems. During the measurement sessions, students can apply their knowlede to parameterize sensors, solve automation task with programmable logic controllers (PLCs) and industrial robots, to use of software and hardware tools supporting rapid prototyping.
    8. Synopsis
    During the semester, students solve measurement tasks organised in ten measurement sessions (MS1 - MS10) in the department's laboratories. Students work in groups of two. The detailed topics of the ten measurement sessions are as follows: 
     
    MS1 - Use of compact digital controllers: students learn the application and parameterization of compact digital controllers used in industrial practice while controlling a real, single variable plant. Among the control algorithms learned during the Control Systems course, both hysteresis control and serial compensator design are included in the tasks.

    MS2 - Implementation of control algorithms: students implement the control algorithms to control a real process. They use both sequential and continuous control algorithms implemented as FB diagram and SFC.

    MS3 – Position control:  the task is to control a one-dimensional positioning system using hardware and software tools that support rapid prototyping. In the Matlab-Simulink environment, the students design a PID controller and a deiscrete-time state-space controller for the plant, and then verify and study the performance in closed-loop.

    MS4 - Drives: the students solve the drive control tasks with the help of a control environment built around a PLC. They become familiar with the basic functions, parameterization and application of a variable frequency converter and a servo amplifier when solving simple drive control tasks.
     
    MS5 - Control with PLC 1: students learn about the opeation and development environment of the Rockwell Micro 830 series compact PLCs, as well as practice the basic techniques of PLC programming and implement simple control tasks.
     
    MS6 – Control with PLC 2: students implement the control of complex process models with the help of PLCs. In the process, they will get to know the design and implementation principles of relatively complex control applications, and the use of the CODESYS-based development environment.
     
    MS7 – Control with PLC 3: the students solve a simple control task and also implement a human-machine interface (HMI) with a touch display to monitor the closed-loop operation. During the solution of the task, they become familiar with the Siemens TIA Portal development environment and the design principles of human-machine interfaces and their implementation.
     
    MS8 – Programming of an industrial robot arm 1: students understand the features of a robotic cell built around an industrial robot and the most important instructions for its robot programming language. The students implement a simple sorting task.
     
    MS9 – Industrial robot programming 2: the students program a robot arm to implement a simple quality control task based on mass measurement, where the robot motion depends on the result of a measurement using a balance (the rejected workpiece must be placed somewhere else than the correct workpiece). It is also a task to provide the user with information on a touch screen display (HMI) during operation.
     
    MS10 – Path planning and control of a mobile robot: students control a differential mobile robot and solve a simple navigation task. Through the task, the students get to know the most important sensors of mobile robots, the architecture of the on-board embedded system, as well as the basic principles of the trajectory tracking control of autonomous platforms. National Instruments' rapid prototyping hardware-software environment (LabVIEW) is available to solve this task.
    9. Method of instruction Ten laboratory sessions of 180 minutes each. Students work in groups of two, with the support of an instructor. The students must participate in sessions according to the measurement schedule published at the beginning of the semester. In order to perform the tasks efficiently and safely, they prepare from the published measurement guide before the measurements. 
    10. Assessment The condition for obtaining a mid-semester mark is the successful completion of all (10) measurements (at least with a pass mark each). The condition for participation at the measurement session is to pass the entry quiz. The student receives a grade for each measurement session (based on the result of the entry quiz, the work during the session and the report submitted after the session). The mid-semester mark is calculated by rounding the average of the marks received for the measurements.
    11. Recaps A student can retake a maximum of two missed or failed sessions. A missed or failed session can be retaken only once. The retake is scheduled by the instructor.
    12. Consultations During the period of classes. Office hours of the  instructurs is the preferred option, otherwise another time may be arranged if ageed upon by the instructor.
    13. References, textbooks and resources Electronic measurement guides on the website of the subject.
    14. Required learning hours and assignment
    Kontakt óra42
    Félévközi készülés órákra42
    Felkészülés zárthelyire
    Házi feladat elkészítése
    Kijelölt írásos tananyag elsajátítása66
    Vizsgafelkészülés
    Összesen150
    15. Syllabus prepared by
    Gábor Kovács, lecturer, Department of Control Technology and Information Technology.
    Emese Gincsainé Dr. Szádeczky-Kardoss, Associate Professor, Department of Control Technology and Information Technology.
    Dr. István Harmati, Associate Professor, Department of Control Technology and Information Technology.
    Dr. Bálint Kiss, Associate Professor, Department of Control Technology and Information Technology.