Course: Mechatronics in Machine Design

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Course title Mechatronics in Machine Design
Course code KKS/MKS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Čermák Roman, Ing. Ph.D.
  • Mašek Václav, Ing.
Course content
The course focuses on the following areas : mechatronics as an interdisciplinary branch linking mechanical engineering, electrical engineering and informatics; sensors, traditional and modern indication of quantities for feedback control; actuators - traditional and nontraditional; modelling and control of mechatronic systems; fundamentals of artificial intelligence, active vibration control; micro- and nanotechnology; mechatronics in manufacturing and transport; commonly used software instruments for simulation of mechanical, hydraulic, pneumatic, electrical and combined systems. Lectures: 1. Introduction, organization of study, program of lectures and seminars, semester projects topics. What the mechatronics is. IoT, IoV, Intelligent vehicles, Smart-technologies, Industry 4.0, etc. 2. Sensors - classification, signals, communication, networks and buses. 3. Machine vision 4.-5. Fundamentals of the theory of automatic control - terminology, description of dynamical systems, control circuits, stability, quality of control, controllers - PI, PID (adjusting in ML). 6.-7. Intelligent systems. Softcomputing - neural networks, expert systems, fuzzy logic, evolutionary algorithms 8. Deeplearning - application in image recognition, etc.. 9. Aktuators. Adaptronics. 10.-11. Magnetic levitation - passive, active. Active magnetic bearings, MAGLEVs. 12. External lecturer - automation of production lines / technological process 13. Students' presentations - current status of the semester projects Seminars: 1.-3. Modelování a simulace - MATLAB, SIMULINK, apod. Open source alternativy - Octave, Scilab. 4. Image processing v MATLAB a Scilab 5.-7. Embedded systémy, Arduino, RaspberryPi. Programování z IDE a s využitím MATLABu. 7. Zadání semestrální práce 8.-13. týden Práce na semestrálních projektech

Learning activities and teaching methods
Lecture supplemented with a discussion, Lecture with practical applications, One-to-One tutorial, Laboratory work, Skills demonstration, Self-study of literature
  • Contact hours - 52 hours per semester
  • Individual project (40) - 40 hours per semester
  • Preparation for an examination (30-60) - 30 hours per semester
  • Preparation for formative assessments (2-20) - 10 hours per semester
prerequisite
Knowledge
to use independently teoretical knowledge from mechanics, stress and strain, machine elements and fundamentalds of design in designing of machines and equipment
to use his/her professional knowledge at least in one foreign language
Knowledge in the range of the previous study at the university is supposed.
to gain further professional knowledge by self-study
Skills
to gain further profesional knowledge by self-study
to use independently his/her knowledge of fundamental theoretical disciplines in solving of practical tasks in the field of designing machines and equipment
to use his/her professional skills at least in one foreign language
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to describe principles and applications of mechatronics
to gain further profesional knowledge by self-study
to use his/her professional knowledge at least in one foreign language
to evaluate pros and cons of mechatronics systems
to communicate information about problems connected with applications of mechatronics
Skills
to gain further professional experience
to design selected mechatronical subsystems with use of gained theoretical and practical knowledge
to use his/her theoretical knowledge to solve practical tasks
Competences
N/A
N/A
teaching methods
Knowledge
Lecture supplemented with a discussion
Self-study of literature
One-to-One tutorial
Interactive lecture
Project-based instruction
Collaborative instruction
Individual study
Students' portfolio
Skills
Skills demonstration
Laboratory work
Practicum
Project-based instruction
Individual study
Students' portfolio
assessment methods
Knowledge
Oral exam
Skills
Skills demonstration during practicum
Recommended literature
  • Elektronické manuály k MATLAB, SIMULINK, AmeSim.
  • Balda, Miroslav. Úvod do MATLABu. 2. opr. vyd. Plzeň : Západočeská univerzita, 1998. ISBN 80-7082-404-2.
  • Bolton, W. Mechatronics : electronic control systems in mechanical and electrical engineering. Seventh edition. 2019. ISBN 978-1-292-25097-7.
  • Grepl, Robert. Kinematika a dynamika mechatronických systémů. Vyd. 1. Brno : Akademické nakladatelství CERM, 2007. ISBN 978-80-214-3530-8.
  • Margolis, Michael. Arduino cookbook. 2nd ed. Sebastopol : O'Reilly, 2012. ISBN 978-1-449-31387-6.
  • McRoberts, Michael. Beginning Arduino. New York : Apress, 2010. ISBN 978-1-4302-3240-7.
  • Valášek, Michael. Mechatronika. Praha : ČVUT, 1995. ISBN 80-01-01276-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester