BME VIK - Ipari irányítástechnika

A tantárgy neve magyarul / Name of the subject in Hungarian: Ipari irányítástechnika

3. Course coordinator and department Dr. Kiss Bálint,

4. Instructors

Name	Position	Department, institute
Kovács Gábor	lecturer	Control Engineering and Information Technology
Dr. Bálint Kiss	associate professor	Control Engineering and Information Technology

5. Required knowledge Digital design, Programming, Control engineering, Physics

6. Pre-requisites

Kötelező:

(Szakirany("AVINbeagy", _) VAGY
Szakirany("AVINirrend", _) VAGY
Szakirany("AVINszgepalrend", _) VAGY
Szakirany("AVIbeágy", _) VAGY
Szakirany("AVIirány", _) VAGY
Szakirany("AVIszgalr", _) VAGY
Szakirany("VIABV-EMBCS", _) )

ÉS NEM ( TárgyEredmény( "BMEVIIIA349" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIIIA349", "FELVETEL", AktualisFelev()) > 0)

A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

Ajánlott:

This is a study specialization block subject. Requirements that are necessary for the enrollment to a study specialization block must be fulfilled. Credits for the Control Engineering (VIIIAB05) subject should be obtained.

7. Objectives, learning outcomes and obtained knowledge

The course aims to present the technologies used to realize industrial control solutions. Special attention is paid to the family of Programmable Logic Controllers. Sensing principles for the measurement of temperature, pressure, force, torque, displacement and flow of fluids are explained and students will also understand the interfacing techniques between the sensors and controller devices. Some actuators are also studied so that students completing the subject will be able to contribute to the installation, maintenance and conception of industrial control system.

8. Synopsis

Levels of process control, timeline of the technology development, methods to collect information about the plant and the related principles (1 week of classes): sensors, transducers, general features of sensors, measured physical quantities, measurement devices and principles, errors in the static characteristics, dynamical behavior of sensors. Application field based classification of sensors, power supply issues of sensors, possible outputs of sensors (analog, frequency, digital). Distribution of functions among sensors, controllers and data acquisition devices in an industrial control system.

Sensing devices and their measurement principles for the some important physical quantities (2 weeks of classes): force, torque, temperature, flow of fluids.

Transducers (1 week of classes): classification and description of the features of successive generations of transducers, analog and digital models

Signal interfacing in industrial control systems (1 week of classes): analog and digital input and output signals and channels, types of signal sources and sinks, disturbance sources (conductive, electromagnetic, electrostatic) and methods for their rejection, grounding techniques, electromagnetic compatibility issues of industrial process control devices.

Architecture of process control systems (1 week of classes): requirements, process control using microcomputers, selection and design considerations of the central unit, protection against power outage, software reboot after the end of the power outage, circuits of the process-computer interface, input and output modules according to signal types, tools and devices of human-machine interfaces.

Actuator devices (1 week of classes): continuous and finite state actuators, positioners, electric, pneumatic devices, actuators used in hazardous locations.

Hardware architecture of Programmable Logic Controllers (1 week of classes): description and classification of PLCs, compact and modular controllers. Architecture and functions of the central unit, available input and output modules. General memory model of PLCs, cyclic execution mode and the appropriate programming model.

Introduction to PLC programming (2 weeks of classes): ladder diagram based programming: elements of the diagram, realization of logical functions. Use of basic function blocks: timers, counters, execution and comparator blocks. Realization of state machine based control, use of subroutines, instruction list based programming.

Modern PLCs (2 weeks of classes): the software model of the IEC-61131, services of modern PLC operating systems, preemptive scheduling, interrupt handling. Structured, text based programming, use of sequence diagrams, function block based programming.

Distributed control systems (1 week of classes): principles and architecture of distributed control systems, remote I/O, intelligent sensors and actuators, control networks: ASI, CAN, MODBUS, PROFIBUS.

HMI and SCADA systems (1 week of classes): tools and devices of human-machine interfaces, operator panel types. Basic design principles of user interfaces, architecture of supervisory control and data acquisition (SCADA) systems, elements and their use.

9. Method of instruction

Lectures: three contact hours a week.
Classroom practice sessions: one contact hour a week

10. Assessment

Conditions to get the signature:

Successful individual submission of the solutions of two homeworks (evaluation: pass/fail).
One midterm with at least a pass grade. The result of the midterm counts into the exam result with a weight of 40%.

Credits are obtained if the comprehensive exam is successful.

11. Recaps One retake opportunity for the midterm is provided during the period of classes. No further retake opportunity is provided during the week of retakes. One of the two homeowrks can be submitted during the reatke week.

12. Consultations Upon request submitted to the lecturer(s).

13. References, textbooks and resources

Frank D. Petruzella: Programmable Logic Controllers. McGraw-Hill, 2005, ISBN 0-07-829852-0

W. Bolton: Programmable Logic Controllers, Elsevier, 2009, ISBN 978-1-85617-751-1

14. Required learning hours and assignment

Contact hours	56
Preparation for classes	16
Study for the midterm	20
Homework assignments	none
Study of suggested specialized literature	8
Study for exam	20
Total	120

15. Syllabus prepared by

Name	Position	Department, institute
dr. László Katona	assistant professor	Control Engineering and Information Technology
Dr. Tibor Csubák	associate professor	Control Engineering and Information Technology
Gábor Kovács	lecturer	Control Engineering and Information Technology
Dr. Zoltán Prohászka	associate professor	Control Engineering and Information Technology