RESEARCH OF THE POWER STABILIZATION SYSTEM AND CUTTING EFFORT OF A LATHE MACHINE USING NEURAL NETWORKS

An analysis of the power stabilization system and the cutting effort of the lathe is given. Comparative studies of several variants of a direct distribution neural network with different input and output layers and the number of neurons are given. The developed neural network in the MATLAB environment that simulates the operation of the PI power controller allows stabilizing the cutting power during machining of parts by learning the parameters of the cutting process. An algorithm for the development of a neuro controller in a graphical programming environment National Instruments LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is presented. In the LabVIEW application development environment, a model was developed for a power stabilization system and a cutting effort for a lathe. The test results prove the feasibility of using the developed neuro controllers in the LabVIEW environment. The results of computer simulation of the power stabilization system and cutting effort of a lathe are presented. It is shown that the use of neuro controllers allows improving the quality of indicators of the power stabilization system and the cutting force of a lathe with random disturbing influences.

Authors: M. P. Belov, I. S. Nosirov, A. M. Belov

Direction: Electrical Engineering

Keywords: Systems of stabilization of power and effort of rubber of the lathe, electric spindle and feed, neural network in the MATLAB and LabVIEW environment

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