Oct 14, 2019   12:19 p.m. Boris
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Course syllabus I-PMRMS - Advanced control methods for mechatronic systems (FEEIT - WS 2019/2020)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: I-PMRMS
Course unit title: Advanced control methods for mechatronic systems
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
2 hours weekly (distance method)
seminar2 hours weekly (on-site method)
2 hours weekly (distance method)

Credits allocated: 6
Recommended semester/trimester: Applied Mechatronics and Electromobility - master (semi-compulsory), 3. semester
Applied Mechatronics and Electromobility - master (semi-compulsory), 3. semester
Level of study: 2.
Prerequisites for registration: none
Assesment methods:
Elaboration of 4 individual projects, continuous assessment - 50 points,
final exam - 50 points
Learning outcomes of the course unit:
Students will acquire knowledge of advanced control methods and will be able to apply them for wide variety of applications, including industrial processes, processes in health care, food industry, power systems and services, following modern information, communication and control systems.
Course contents:
Characteristics and principles of advanced control methods following the trends in information, communication and control systems.
Modern control forms and structures using embedded microcomputer systems, distributed network structures and PLC systems.
Advanced PID control of mechatronic systems (ABS systems, combustion, damping and navigation processes) based on direct synthesis method, delay compensation and considering constraints on control action.
State-space control design of mechatronic systems - poleplacement, LQR, deterministic observer, stochastic observer, LQG control.
Smart PID forms for mechatronic system control (automotive mechatronics, bio-and nanomechatronics).
Predictive control methods - Dynamic Matrix Control (DMC) and Generalized Predictive Control (GPC).
Hybrid control algorithms for mechatronic systems and their application in mechatronics.
Recommended or required reading:
CAMACHO, E F. -- BORDONS, C. Model Predictive Control. London : Springer Verlag, 2004. 405 p. ISBN 1-85233-694-3.
KVASNICA, M. Real-Time Model Predictive Control via Multi-Parametric Programming:Theory and Tools: Theory and Tools. Saarbrücken : VDM Verlag Dr. Müller, 2009. 231 p. ISBN 978-3-639-20644-9.
KOZÁK, Š. Inteligentné vnorené systémy. In KVASNIČKA, V. -- POSPÍCHAL, J. -- KOZÁK, Š. -- NÁVRAT, P. -- PAROULEK, P. Artificial Intelligence and Cognitive Science. Vydavateľstvo STU v Bratislave, 2009, p. 139--193. ISBN 978-80-227-3080-8.
KOZÁK, Š. Lineárne číslicové systémy 1. Bratislava : STU v Bratislave, 1991. 240 p.
KOZÁK, Š. MATLAB - Simulink 2. Bratislava : STU v Bratislave, 1999. 141 p. ISBN 80-227-1235-3.

Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 42

23,8 %19,0 %23,8 %14,3 %16,7 %2,4 %
Name of lecturer(s): prof. Ing. Alena Kozáková, PhD. (instructor, lecturer, person responsible for course) - slovak, english
Last modification: 10. 5. 2019
Supervisor: prof. Ing. Alena Kozáková, PhD. and programme supervisor

Last modification made by RNDr. Marian Puškár on 05/10/2019.

Type of output: