Faculty of Textile Technology
 
Course: Computers in process control

Teachers in charge Ph. D. Goran Hudec, Prof.
Study Textile Science and Technology - postgraduate
Course summary 30
ECTS 4
Knowledge verification oral exam, seminar
Lecture type lectures, seminars
Exercise type seminars
Subject content Definitions and classifications of flexible manufacturing systems. Stochastic processes. The term process. Poisson process. Markov processes. Transition probabilities. Matrix of transition probabilities. Fractals as an example of Markov lancau possibility of their application in the design. Mathematical models. Dynamic and static characteristics of the system. Linear and nonlinear systems. Algorithms for control of flexible manufacturing systems. Connecting a digital computer with a measuring device process. Hardware standards. Drivers for instrumentation. Fuzzy (fuzzy) control, neural networks, self-learning management systems, expert systems. Fuzzy logic, fuzzy sets, membership function, fuzzy operations. Fuzzy sets in management systems. Examples from the field of textile technology.
Aim of course Student will learn about different process description approaches and its implementation, restrictions and advantages considering textile technology applications.
Literature necessary for course Pauše, Ž.: Vjerojatnost, informacije, stohastički procesi, Školska knjiga, Zagreb, 1985.
Novaković, B.: Metode vođenja tehničkih sustava: Primjena u robotici, fleksibilnim sustavima i procesima, Školska knjiga, Zagreb, 1990.
Hudec, G. : Mjerenje i automatsko vođenje procesa, Zagreb, 2004.
Bennet, S.: Real time computer control; An Introduction, Prentice Hall, NewYork 1988.