Title :
Building a knowledge base for intelligent control system of mechatronic machining center
Author :
Yury, Karavaev ; Abramov, I.V.
Author_Institution :
Dept. of Mechatron. Syst., Izhevsk State Tech. Univ., Izhevsk, Russia
Abstract :
Modern mechatronic machining centers belong to complex technical systems. Existing mathematical models are not capable to describe the fullness and complexity of the processes of dynamic interaction of mechatronic machine elements: “control system - machine - attachment - tool - work material”, that affect quality and efficiency of machining. With continuous monitoring all these factors by information-measuring system of mechatronic machine the intelligent control system using neural network algorithms for decision making, is able to control technological parameters of processing to ensure the desired results. The paper presents algorithm features of building a knowledge base of intellectual control system of mechatronic machining center.
Keywords :
control engineering computing; decision making; intelligent control; knowledge based systems; machining; mathematical analysis; mechatronics; neural nets; production engineering computing; complex technical system; continuous monitoring; control system; decision making; dynamic interaction; information measuring system; intellectual control system; intelligent control system; knowledge base; machine attachment; mathematical model; mechatronic machine; mechatronic machine element; mechatronic machining center; neural network algorithm; work material; Artificial neural networks; Control systems; Intelligent control; Machining; Mathematical model; Mechatronics; Process control; intellectual control system; knowledge base; mechatronic machining center; neural network control;
Conference_Titel :
MECHATRONIKA, 2011 14th International Symposium
Conference_Location :
Trencianske Teplice
Print_ISBN :
978-1-61284-821-1
DOI :
10.1109/MECHATRON.2011.5961073
