Building a knowledge base for intelligent control system of mechatronic machining center

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.