Machine tool feeding system modeling method and equipment based on dynamics and neural network

Abstract

The invention discloses a machine tool feeding system modeling method and equipment based on dynamics and a neural network, and belongs to the field of artificial intelligence and computer aided manufacturing. The method specifically comprises the following steps: firstly, deducing a kinetic equation of the feeding system according to the kinetic and kinematic characteristics of each part of the machine tool feeding system; establishing a dynamic simulation model of the feeding system according to the dynamic equation; identifying partial parameters of the simulation model by using a genetic algorithm to obtain accurate values of the parameters; and finally, using the neural network model to replace the workbench displacement module, and the output of each module of the original model is used as the input feature of the neural network model, so that the neural network outputs the simulation displacement of the hybrid model. According to the modeling method implemented by the invention,the nonlinear expression capability of the kinetic model can be improved, and the simulation precision and generalization capability of the model are improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and computer-aided manufacturing, and relates to a modeling method and equipment for a machine tool feed system based on dynamics and neural networks, and more specifically, to a modular machine tool feed system based on dynamics and neural networks. System Modeling Methods. Background technique [0002] With the development of information technology, virtual manufacturing technology is widely used in various fields of industrial manufacturing, and the basic equipment of the manufacturing process is the machine tool, so virtual technology is inseparable from the virtual machine tool. The virtual machine tool is the reproduction of the machine tool in the virtual space of the computer. With the help of virtual machine tools and performance simulation and processing simulation on them, it is possible to test the performance of the machine tool, simulate the machining process, and inspect the ...

AI Technical Summary

Problems solved by technology

However, the friction force in a mechanical system is related to many factors, involving mechanics, heat transfer, chemistry, physics and other disciplines, it is difficult to obtain an accurate mathematical model of friction force

In order to solve this problem, the above model ignores the hinge gap, thread gap, temperature change and other conditions in the real environment to approximate the real friction force, thereby reducing the simulation accuracy of the simulation model, so that the simulation effect is consistent with the actual machining. The situation is quite different and cannot accurately reflect the real processing results

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