Automation of industrial process - course description

General information

Course name	Automation of industrial process
Course ID	11.9-WE-AutD-AutomIndProc-Er
Faculty	Faculty of Computer Science, Electrical Engineering and Automatics
Field of study	WIEiA - oferta ERASMUS / Automatic Control and Robotics
Education profile	-
Level of studies	Second-cycle Erasmus programme
Beginning semester	winter term 2018/2019

Course information

Semester	3
ECTS credits to win	3
Course type	obligatory
Teaching language	english
Author of syllabus

Classes forms

The class form	Hours per semester (full-time)	Hours per week (full-time)	Hours per semester (part-time)	Hours per week (part-time)	Form of assignment
Lecture	15	1	-	-	Credit with grade
Laboratory	30	2	-	-	Credit with grade

Aim of the course

To provide basic knowledge about methods of designing automated production systems
To provide the ability to design and program diagnostic procedures for system components, devices and
To provide the ability to design and implement control strategy of production systems
To give basic requirements for the design of real-time systems

Prerequisites

Sensoryka i pomiary przemysłowe, programowanie w C and C++, programowanie PLC

Scope

Introduction. Technical possibilities of automation of industrial processes. Basic elements of an industrial automation system. Levels of the automation system and their tasks and requirements. Graphic representation of industrial processes. Automation in selected industries: mechanical, hydraulic, pneumatic, electric systems, etc.

Automation devices and systems, controllers used to automate industrial system . Distributed automation structures - topology, advantages and disadvantages. Automation systems with hardware and software redundancy. Representation of industrial process data in automation systems.
PLC programmable controllers - construction, applications and operating modes.

Communication in the industrial ETHERNET network. Real time systems : classification of requirements in real time systems. Concurrency of tasks and its implementation. Asynchronous and synchronous programming of real time systems. Synchronization machanisms : semaphores, monitors and critical areas. Communication between tasks (processes): shared memory and message passing. Task scheduling methods.

Teaching methods

wykład: wykład konwencjonalny

laboratorium: ćwiczenia laboratoryjne

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture – the passing condition is to obtain a positive mark from the examination.

Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.

Calculation of the final grade: lecture 50% + laboratory 50%

Notes

Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 29-04-2020 08:24)

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