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
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[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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