Intelligent regulation and control method for high-speed motorized spindle water cooling system

A high-speed motorized spindle and water cooling system technology, applied in general control systems, control/regulation systems, adaptive control, etc., can solve problems such as limited cost, achieve optimization accuracy, good fitting and generalization ability, nonlinear The effect of strong fitting ability

Pending Publication Date: 2021-09-21
HARBIN UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Shigenoriando and Narashino of Japan proposed a centralized cooling and lubrication system, which opened a cooling channel inside the main shaft to directly cool the bearings, and opened another channel to lubricate the bearings. Experiments have proved that the lubrication and cooling effect is better, but the overall cooling has limitations. and higher cost

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  • Intelligent regulation and control method for high-speed motorized spindle water cooling system
  • Intelligent regulation and control method for high-speed motorized spindle water cooling system
  • Intelligent regulation and control method for high-speed motorized spindle water cooling system

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Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] In this embodiment, the generalized neural network electric spindle thermal characteristic control cooling medium flow modeling method based on genetic algorithm optimization specific steps includes:

[0030] A. Establish RBF neural network structure

[0031] A1. The main feature of RBF neural network is that it can transform the problem in low-dimensional space into high-dimensional space to solve it, which also determines the characteristics of fast training of RBF neural network and the ability to solve any nonlinear problem.

[0032] Such as figure 1 As shown in the RBF network structure diagram, the independent variable of the radial basis function is a real number representing the distance, and its mathematical form can be expressed by the formula

[0033]

[0034] There are three types of radial basis functions:

...

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Abstract

The invention discloses an intelligent regulation and control method for a high-speed motorized spindle water-cooling system, and the method comprises the steps: building a structure of an RBF neural network, building a four-layer GA-GRNN neural network structure frame and a four-layer generalized regression neural network (GRNN) structure on the improvement of the RBF neural network, and carrying out the global search of a generalized regression neural network smooth factor sigma through a genetic algorithm so that the global minimum value is simply and accurately found; initializing a generalized regression neural network smooth factor sigma by adopting a random population initialization mode; constructing a fitness function of a genetic algorithm (GA), calculating individual fitness, establishing a high-speed motorized spindle thermal characteristic regulation and control cooling medium flow model, so that it is better that the predicted output is closer to an actual value, and adopting the predicted temperature characteristic of a GRNN model to construct the fitness function; performing natural selection operation on the population, and performing selection, crossover and mutation operation on individuals to evolve the population; and repeatedly selecting the fitness function to establish the model and operating the population and the individuals until the precision is met or the maximum number of iterations is met. According to the method, global optimal search is performed on the smooth factor sigma of the GRNN by using the genetic algorithm, so that the prediction precision and generalization ability of the GRNN are improved, and the training precision and robustness of the GRNN are improved.

Description

technical field [0001] The invention relates to the field of regulation and control of a high-speed electric spindle water cooling system, in particular to a GRNN high-speed electric spindle intelligent control cooling medium flow method based on genetic algorithm optimization. Background technique [0002] Now in the actual operation of the high-speed electric spindle, the internal heat of the spindle is large, the temperature rises, and the speed is fast, which leads to the thermal deformation of the spindle and affects the machining accuracy of the electric spindle. The thermal characteristics of the electric spindle are not only related to the heating of the internal heat source of the spindle. The performance of the electric spindle cooling system is also inseparable. Among the electric spindle related technologies, the electric spindle cooling technology can be said to be an extremely important part, which directly affects the processing performance and service life of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 戴野周志成李兆龙鲍玉冬尹相茗
Owner HARBIN UNIV OF SCI & TECH
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