Gurantor department | Department of Control Systems and Instrumentation | Credits | 5 |

Subject guarantor | prof. Ing. Petr Noskievič, CSc. | Subject version guarantor | prof. Ing. Petr Noskievič, CSc. |

Study level | undergraduate or graduate | Requirement | Compulsory |

Year | 1 | Semester | summer |

Study language | Czech | ||

Year of introduction | 2019/2020 | Year of cancellation | 2025/2026 |

Intended for the faculties | FS | Intended for study types | Follow-up Master |

Instruction secured by | |||
---|---|---|---|

Login | Name | Tuitor | Teacher giving lectures |

NOS52 | prof. Ing. Petr Noskievič, CSc. | ||

SKU52 | Ing. Jolana Škutová, Ph.D. |

Extent of instruction for forms of study | ||
---|---|---|

Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 3+2 |

Part-time | Credit and Examination | 12+4 |

The practical use of the experimental identification methods, realization of the mathematical models using the simulation programmes and numerical methods implemented in the simulation programmes are the main learning outcomes of the subject.
The student is able to design the identification experiment and make a decision about the use of the identification methods based on the use of the deterministic or stochastic input signal, is able to choice a method for the evaluation of the response and parameterization of the used model. Student is able to use the methods for the identification of the discrete models of the systems.
The student is able to create the models in the simulation programmes, set up the simulation conditions and parameters, knows the basic numerical methods and their use by the simulation of the dynamic systems. He is able to analyse the dynamics of the identified systems using the mathematical models.

Lectures

Tutorials

Project work

The subject System Identification and Simulation is focused on the experimental identification of the dynamic systems and on the realization of the mathematical models of the dynamic systems using computer simulation. The methods for the model parameterization using different testing signals – step input, ramp signal, general input signal, random signal are explained after the summary of the used basic forms of the mathematical models in the time and frequency domain, continues and discrete models. The second part of the of subject is focused on the numerical methods used by the realization of the mathematical models on the digital computers. The curve fitting methods – approximation, interpolation, next numerical integration, numerical derivation and numerical methods for the solution of the differential equation – initial value problems, including of the conditions for their use and numerical stability of the obtained solution.

LJUNG,L. & GLAD,T. Modeling of Dynamic Systems.Prentice Hall,Inc.Engelwood Cliffs, New Persey 07632. ISBN 0-13-597097-0.
CLOSE, M.,Ch. & FREDERICK, K. Modeling and Analysis of Dynamic Systems. John Wiley & Sons, Inc. New York. 1995. ISBN 0-471-125172-2.

Soederstroem,T.-Stoica, P.: System identification Prentice Hall Int. ISBN 0-13-127606-9.
NOSKIEVIČ, P.: Modelling and Simulation of Mechatronic Systems using MATLAB-Simulink. Studijní texty v angličtině, Fakulta strojní, VŠB-TU Ostrava, 2013, 85 stran. ISBN 978-80-248-3250-3

Active work at the excercises.
Projects.
Combined examination.

Elaboration of three projects focused on the creation of the mathematical models and simulation of mechatronic systems.
Student has to be able to use numerical methods for the simulation of dynamic systems and solve identification tasks using the simulation programme MATLAB – Simulink.

Subject code | Abbreviation | Title | Requirement |
---|---|---|---|

352-0329 | MaSMS | Modelling and Simulation of Mechatronic Systems | Recommended |

Subject has no co-requisities.

1. Basic mathematical models of the dynamic systems, methods of their obtaining, overview of the analytical and experimental methods of system identification.
2. Realization of the mathematical models, simulation programmes, their classification and use.
3. Experimental identification using the deterministic signals. Approximation of the step responses.
4. Parameterization of the system characteristics, area methods, integration methods.
5. Bode plot characteristic – measurement and evaluation.
6. Statistic identification methods. Statistic characteristics, stationary, random process.
7. Identification using the correlation methods. Stochastic formulation of the dynamic systems, random test signals.
8. Identification using the parameter estimation, structure of the stochastic process and system.
9. Model parameter estimation, least square methods.
10. Recursive methods of the identification, weight coefficients, exponential filtering.
11. Identification of the systems operating in closed loop.
12. Realization of the simulation models, numerical solution, stability of the methods of numerical solution.
13. Model order reduction.
14. Simulation experiment, case study – the use of the simulation models by the design of the mechatronic system.

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points |
---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 |

Credit | Credit | 40 (40) | 20 |

Processing of the projects. | Project | 35 | 20 |

Activity | Other task type | 5 | 0 |

Examination | Examination | 60 (60) | 22 |

Written exam. | Written examination | 30 | 16 |

Oral exam. | Oral examination | 30 | 6 |

Show history

Academic year | Programme | Field of study | Spec. | Zaměření | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
---|---|---|---|---|---|---|---|---|---|---|---|---|

2021/2022 | (N0714A270003) Mechatronics | EMM | P | Czech | Ostrava | 1 | Compulsory | study plan | ||||

2021/2022 | (N0714A270003) Mechatronics | EMM | K | Czech | Ostrava | 1 | Compulsory | study plan | ||||

2021/2022 | (N0714A270011) Control of Machines and Processes | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2021/2022 | (N0714A270011) Control of Machines and Processes | K | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2020/2021 | (N0714A270003) Mechatronics | EMM | P | Czech | Ostrava | 1 | Compulsory | study plan | ||||

2020/2021 | (N0714A270003) Mechatronics | EMM | K | Czech | Ostrava | 1 | Compulsory | study plan | ||||

2020/2021 | (N0714A270011) Control of Machines and Processes | K | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2020/2021 | (N0714A270011) Control of Machines and Processes | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2019/2020 | (N0714A270003) Mechatronics | EMM | P | Czech | Ostrava | 1 | Compulsory | study plan | ||||

2019/2020 | (N0714A270003) Mechatronics | EMM | K | Czech | Ostrava | 1 | Compulsory | study plan |

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