Module CS1500-KP04, CS1500

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

• Bachelor IT-Security 2016, optional subject, interdisciplinary
• Bachelor Computer Science 2019, optional subject, Introductory Module Computer Science
• Bachelor Robotics and Autonomous Systems 2020 , compulsory, Robotics and Autonomous Systems
• Bachelor Medical Informatics 2019, optional subject, medical computer science
• Bachelor Computer Science 2016, optional subject, Introductory Module Computer Science
• Bachelor Biophysics 2016, compulsory, Elective Computer Science
• Bachelor Robotics and Autonomous Systems 2016, compulsory, Robotics and Autonomous Systems
• Bachelor Medical Informatics 2014, optional subject, medical computer science
• Bachelor Computer Science 2014, compulsory, specialization field robotics and automation
• Bachelor CLS 2010, optional subject, computer science
• Bachelor MES 2011, optional subject, medical engineering science
• Bachelor Computer Science 2012, compulsory, specialization field robotics and automation

Classes and lectures:

• Introduction to Robotics and Automation (exercise, 1 SWS)
• Introduction to Robotics and Automation (lecture, 2 SWS)

Workload:

• 45 hours in-classroom work
• 55 hours private studies
• 20 hours exam preparation

Contents of teaching:

• Introduction
• Control systems
• Programmable Logic Controller (PLC)
• Combinatorial control
• Sequential control
• Feedback control systems
• Plants
• PID controller
• Controller parameterization
• Autonomous mobile robots
• AI-paradigms
• Elementary and emergent behaviors
• Signal acquisition and processing
• Actuators
• According to the rules of GSP of the UzL

Qualification-goals/Competencies:

• The students are able to explain the principles of control systems.
• The students are able to design combinatorial and sequential control systems.
• The students are able to program simple application problems as PLC-program in the IEC-languages.
• The students are able to analyze closed-loop controlled systems (plants) and to select and parameterize a suitable feedback PID controller.
• The students are able to present the principal structure and functionality of autonomous wheel-driven robots.
• The students are able to program simple autonomous robots in a behavior-based way..

Grading through:

• written exam

Responsible for this module:

• Prof. Dr.-Ing. Mladen Berekovic

Teacher:

• Institute of Computer Engineering
• Dr.-Ing. Kristian Ehlers

Literature:

• J. L. Jones, D. Roth : Robot Programming - A Practical Guide to Behavior-Based Robotics New York: Mc Graw Hill 2004
• J. Knespl : Automatisierungstechnik 1 - Regelungstechnik Köln: Stam-Verlag 1999
• R. R. Murphy : Introduction to AI Robotics Cambridge, MA: The MIT Press 2000
• G. Wellenreuther, D. Zastrow : Automatisieren mit SPS - Theorie und Praxis Braunschweig: Vieweg 2008

Language:

• offered only in German

Notes:

Last Updated:

18.09.2024