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Robotized Manufacuring Systems Laboratory

Robotizált gyártórendszerek laboratórium
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
Subject name (Hungarian, English)
Robotizált gyártórendszerek laboratórium
Robotized Manufacuring Systems Laboratory
Subject code BMEVIIIAC07
Subject type
Training Level
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 0 0 3
type (linked/independent) autonomous course
Assessment type félévközi érdemjegy
Credits 5
Subject coordinator
Gincsainé Szádeczky-Kardoss Emese
Responsible department
Irányítástechnika és Informatika Tanszék
Faculty Villamosmérnöki és Informatikai Kar
Subject website https://edu.vik.bme.hu
Primary curriculum type
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme
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.
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.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

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. 

Tanulástámogató anyagok

Online források
Electronic measurement guides on the website of the subject.

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Features and programming of PLCs, structure and programming of industrial robotic arms, control systems, digital technology
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Features and programming of PLCs, structure and programming of industrial robotic arms, control systems, digital technology
General rules
Requirements: 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. Additional possibilities: 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.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses
Robotized Manufacuring Systems
Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
Requirements valid until:
Curriculum placement

No curriculum placements recorded for this subject version.