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Lecturer(s)
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Course content
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1. Introduction, principles of work and organizing the laboratory experiment. 2. Introduction to industrial controllers, examples, configuration options. 3. Industrial regulators - the use of simulation software for their work and setting the optimal parameters. 4. Industrial regulators - the use of simulation software for their work and setting the optimal parameters. 5. Setting of optimal control parameters of industrial controllers using built-in modules for autotuning and special software. 6. Work with industrial regulators connected to the selected laboratory model. 7. Work with industrial regulators connected to the selected laboratory model. 8. Connecting selected laboratory model to PC by acquisition card (using Matlab - Simulink). 9. Measurements on selected dynamic system with Matlab and Simulink. 10. Introduction to virtual measuring instruments implemented in LabVIEW, measurements on selected dynamic system. 11. Measurements on selected dynamic system using LabVIEW. 12. Practical demonstration of the implementation and operation of discrete controllers of various types (using LabVIEW). 13. Implementation and optimal setting of controllers connected to laboratory models (using LabVIEW).
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Skills training, Laboratory work
- Preparation for an exam
- 12 hours per semester
- Contact teaching
- 52 hours per semester
- Home preparation for classes
- 32 hours per semester
- Term paper
- 30 hours per semester
- Preparation for laboratory work and processing of results
- 24 hours per semester
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Learning outcomes
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To learn students to control different dynamic systems, working with industrial controllers, discrete controllers with fixed and optimized structure.
Student after the course: - demonstrates practical knowledge in the field of industrial controllers (compact but also software implemented); - is able to use support software to simulate the operation of industrial controllers, learn how to set their optimal parameters and connect these controllers to real dynamic systems in the laboratory.
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Prerequisites
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Basic knowledge of the theory of automatic control, identification and modeling of dynamic systems is needed.
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Assessment methods and criteria
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Home assignment evaluation
Active participation in seminars is required, including the development of all assigned tasks and submission of semester work. Specific requirements will be communicated to students by their teachers in the first week of the semester.
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Recommended literature
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ASTRÖM, Karl J. a HÄGGLUND, Tore. PID controllers: Theory, design and tuning. 2nd ed. Research Triangle Park: Instrument Society of America, 1995. ISBN 1-55617-516-7.
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DUŠEK, František a HONC, Daniel. Matlab a Simulink: úvod do používání. Pardubice: Univerzita Pardubice, 2005. ISBN 80-7194-776-8.
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HLAVA, Jaroslav. Prostředky automatického řízení II: analogové a číslicové regulátory, elektrické pohony, průmyslové komunikační systémy. Praha: ČVUT, 2000. ISBN 80-01-02221-8.
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KUPKA, Libor a Josef JANEČEK. Matlab & Simulink: řešené příklady. Lanškroun: TG tisk, 2000. ISBN 978-80-239-8871-0.
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VLACH, Jaroslav, Josef HAVLÍČEK a Martin VLACH. Začínáme s LabVIEW. Praha: BEN - technická literatura, 2008. ISBN 80-7194-776-8.
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