352-0913/03 – Process Dynamics (DyProc)

Gurantor departmentDepartment of Control Systems and InstrumentationCredits10
Subject guarantorprof. Ing. Petr Noskievič, CSc.Subject version guarantorprof. Ing. Petr Noskievič, CSc.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2013/2014Year of cancellation
Intended for the facultiesFSIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
NOS52 prof. Ing. Petr Noskievič, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 25+0
Part-time Examination 25+0

Subject aims expressed by acquired skills and competences

The PhD student is able to analyze the dynamic properties of the production machines and equipments. He/she is able to use the experimental methods, the mathematical physical modelling and simulation software too.

Teaching methods

Individual consultations
Project work

Summary

Introduction in modeling and analysis of process dynamics. Basic steps in system theory, description and analysis of dynamic systems. Modeling of mechanical systems. Modeling of hydraulic and pneumatic sys-tems. Modeling of thermal systems. Modeling of electric systems. Modeling of mechatronic systems. Fundamentals of dynamic systems analysis, response of dynamic systems, stability, equilibrium. Numerical meth-ods for process dynamics analysis. Simulation, numerical integration of differential equations, eigenvalue problem. Software for simulation of dynamic systems. Case study.

Compulsory literature:

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 Isermann, R., M. Muenchhof: Identification of Dynamic Systems. Springer, 2011. ISBN 978-3-540-78878-2. Labontiu, N.: System Dynamics for Engineering Students. Concept and Applications. Elsevier, Academic Press. 2018. ISBN 978-0-12-804559-6. Matthew, A. Davies, Tony L. Schmitz: System Dynamics for Mechanical Engineers. Springer, 2015. ISBN 978-1-4614-9293-1. Keesman, K.J.: System Identification. Springer. 2011. ISBN 978-0-85729-522-4. Isermann, R., M. Muenchhof: Identification of Dynamic Systems. Springer, 2011. ISBN 978-3-540-78878-2.

Recommended literature:

Ljung,L. & Glad,T. Modeling of Dynamic Systems.Prentice Hall,Inc.Engelwood Cliffs, New Persey 07632. ISBN 0-13-597097-0. Söderström, T. – Stoica, P.: System Identification. Prentice Hall International (UK) Ltd., 1989. ISBN 0-13-881236-5.

Additional study materials

Way of continuous check of knowledge in the course of semester

The student works out the project, which is focused on the studied methods in the frame of this subject and supporting the progress of the experience in the relation to the dissertation. The student is supervised by the teacher during the elaboration of the project and continuously consults the results.

E-learning

Other requirements

The student works out the project, which is focused on the studied methods in the frame of this subject and supporting the progress of the experience in the relation to the dissertation. The student is supervised by the teacher during the elaboration of the project and continuously consults the results.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Description of the dynamic properties of the processes and systems, basic forms of the mathematical models. Creating of the mathematical models using the mathematical-physical modelling. The use of the experimental identification methods for the creating of the mathematical model of the dynamic system. The use of the mathematical-physical modelling by the creation of the simulation model of the selected dynamic system or process with the relation to the dissertation. Creation of the simulation models in the simulation programme MATLAB-Simulink. Physical modelling. Analysis of the dynamic properties. Simulation experiment, simulation parameters setting, model verification.

Conditions for subject completion

Part-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (P0719D270006) Transport and Material Handling P English Ostrava Choice-compulsory type B study plan
2024/2025 (P0719D270006) Transport and Material Handling K English Ostrava Choice-compulsory type B study plan
2023/2024 (P0719D270006) Transport and Material Handling K English Ostrava Choice-compulsory type B study plan
2023/2024 (P0719D270006) Transport and Material Handling P English Ostrava Choice-compulsory type B study plan
2022/2023 (P0719D270006) Transport and Material Handling P English Ostrava Choice-compulsory type B study plan
2022/2023 (P0719D270006) Transport and Material Handling K English Ostrava Choice-compulsory type B study plan
2021/2022 (P0719D270006) Transport and Material Handling K English Ostrava Choice-compulsory type B study plan
2021/2022 (P0719D270006) Transport and Material Handling P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0719D270006) Transport and Material Handling P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0719D270006) Transport and Material Handling K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

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