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Modelling of Mechatronic Systems

Type of study Doctoral
Language of instruction English
Code 354-0909/03
Abbreviation MECHS
Course title Modelling of Mechatronic Systems
Credits 10
Coordinating department Department of Robotics
Course coordinator prof. Ing. Zdenko Bobovský, PhD.

Subject syllabus

Dynamics of mechanisms:
Main principles of modeling of mechanisms.
Lagrange equations.
Newton-Euler equations.
Dynamics of mechanisms in Pro/Engineer.
Dynamics of mechanisms in MSC/Adams.
Mathematical models of mechanisms in Matlab environment.
Dynamics and control of drives:
Modeling of the drive dynamics.
Torque control of the drives.
Control of mechatronic systems:
State - space representation.
Linearization of the nonlinear systems.
Synthesis of the optimal control.
Simulation of the mechatronic systems:
Co-Simulation of the behavior of mechatronic systems in simulation environment.
Investigation of the interactions among individual subsystems.
Possibilities of optimalization of the entire mechatronic system.

Literature

[1] MERDAN, Munir, LEPUSCHITZ, Wilfried; KOPPENSTEINER, Gottfried; BALOGH, Richard a OBDRŽÁLEK, David (ed.). Advances in Intelligent Systems and Computing - Robotics in Education - Methods and Applications for Teaching and Learning. 1. Springer International Publishing Switzerland, 2019. ISBN 978-3-319-97084-4 .
[2] HEHENBERGER, Peter a BRADLEY, David. Mechatronic Futures. 1. Springer International Publishing Switzerland, 2016. ISBN 978-3-319-32154-7 .
[3] De Silva, Clarence W. Mechatronics: An Integrated Approach. CRC Press, 2004. ISBN 0849312744
[4] Angeles, J. Fundamentals of Robotic Mechanical Systems. 2nd Edition. Springer-Verlag New York, 2003. ISBN 038795368X

Advised literature

[1] MATLAB and Simulink Crash Course for Engineers. 1. Springer Nature Switzerland, 2022. ISBN 9783030897611 .
[2] HABERMAN, Maggie. MATLAB and Simulink In-Depth. 1. BPB Publications, 2022. ISBN 9789355511997 .
[3] LYNCH, Kevin M. a PARK, Frank C. Modern robotics: mechanics, planning, and control. Cambridge, United Kingdom: Cambridge University Press, 2017. ISBN 978-110-7156-302 .
[4] ESHKABILOV, Sulaymon L. MATLAB(R)/Simulink(R) Essentials: MATLAB(R)/Simulink(R) for Engineering Problem Solving and Numerical Analysis. 1. Lulu Pub Serv, 2016. ISBN 9781483458069 .


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