Course: Mechatronics in Machine Design

« Back
Course title Mechatronics in Machine Design
Course code KKS/MKSA
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction English
Status of course Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Vojta Stanislav, Ing. Ph.D.
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. 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.-8. Intelligent systems. Softcomputing - neural networks, expert systems, fuzzy logic, evolutionary algorithms 9. Deeplearning - application in image recognition, etc.. 10. Aktuators. Adaptronics. 11.-12. Magnetic levitation - passive, active. Active magnetic bearings, MAGLEVs. 13. Students' presentations - current status of the semester projects Cvičení : 1.-3. Modeling and simulation - MATLAB, SIMULINK, etc. Open source alternatives - Octave, Scilab. 4. Image processing in MATLAB and Scilab 5.-7. Embedded systems, Arduino, RaspberryPi. Programming in the Arduino IDE and in MATLAB. 7. Semestral project 8.-13. Working on the projects

Learning activities and teaching methods
Lecture supplemented with a discussion, Lecture with practical applications, Laboratory work, Skills demonstration, Self-study of literature
  • Preparation for an examination (30-60) - 50 hours per semester
  • Contact hours - 52 hours per semester
  • Individual project (40) - 40 hours per semester
prerequisite
Knowledge
Knowledge in the range of the previous study at the university is supposed.
to use his/her professional knowledge at least in one foreign language
to use independently teoretical knowledge from mechanics, stress and strain, machine elements and fundamentalds of design in designing of machines and equipment
to gain further professional knowledge by self-study
Skills
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
to gain further professional knowledge by self-study
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to describe principles and applications of mechatronics
to use his/her professional knowledge at least in one foreign language
to communicate information about problems connected with applications of mechatronics
to evaluate pros and cons of mechatronic systems
to gain further profesional knowledge by self-study
Skills
to design selected mechatronical subsystems with use of gained theoretical and practical knowledge
to use his/her theoretical knowledge to solve practical tasks
to gain further professional experience
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Lecture supplemented with a discussion
Laboratory work
Skills demonstration
Self-study of literature
Interactive lecture
Project-based instruction
Individual study
Students' portfolio
N/A
Skills
Practicum
Individual study
Skills demonstration
Project-based instruction
N/A
Competences
Individual study
Practicum
Skills demonstration
Students' portfolio
N/A
assessment methods
Knowledge
Oral exam
Skills demonstration during practicum
N/A
Skills
Project
Group presentation at a seminar
N/A
Competences
Group presentation at a seminar
Project
N/A
Recommended literature
  • De Silva, Clarence W. Mechatronics : an integrated approach. Boca Raton : CRC Press, 2005. ISBN 0-8493-1274-4.
  • Grepl, Robert. Kinematika a dynamika mechatronických systémů. Vyd. 1. Brno : Akademické nakladatelství CERM, 2007. ISBN 978-80-214-3530-8.
  • Isermann, Rolf. Mechatronic systems : fundamentals. London : Springer, 2005. ISBN 1-85233-930-6.
  • 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.
  • Moler, Cleve B. Numerical computing with MATLAB. Philadelphia : Siam, 2004. ISBN 0-89871-560-1.


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