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A Method of Optimizing Adaptive Fuzzy Control Rules for NC Machining Parameters

A technology of self-adaptive fuzzy and processing parameters, applied in the direction of digital control, electrical program control, etc., can solve problems such as poor control performance, and achieve the effect of improving control performance and machine tool processing stability

Active Publication Date: 2015-10-28
TIANJIN UNIV
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Problems solved by technology

[0005] In order to overcome the problem that the establishment and optimization of fuzzy control rules in the prior art need to be based on empirical knowledge and human subjectivity, resulting in poor control performance, the present invention proposes a fuzzy control rule optimization method for adaptive adjustment of numerical control machining parameters, based on power The bonding diagram method is used to establish the transmission system model of CNC machine tools, and the MATLAB software is used for simulation to obtain the effect diagram of the change relationship between the input and output language variables of the fuzzy controller, based on which the fuzzy control rules are optimized

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  • A Method of Optimizing Adaptive Fuzzy Control Rules for NC Machining Parameters

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[0024] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0025] like figure 1 As shown, according to the NC machining adaptive control model, the input language variable current deviation E is obtained I , Deviation change rate EC I and output language variable feed speed change The relationship between the variable parameters is established to establish the variable parameter operation equation, so that the quantization files of the fuzzy set universe of the three linguistic variables all take the same value 6, and the membership functions are all expressed by triangular functions. According to the relationship between the input and output linguistic variables, the fuzzy Control rules, step 1; the transmission system of the machine tool includes the motor, mechanical transmission device and workbench, based on which the dynamic bond graph model of the CNC machine tool tran...

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Abstract

The invention discloses a numerical control machining parameter adaptive fuzzy control rule optimization method. The method includes the following steps: step1, parameter operation of a numerical control machine tool drive system is created, an input variable and an output variable of an adaptive fuzzy control model are confirmed, and a value taking interval is confirmed according to practical machining conditions; step 2, a drive system module of a numerical control machine tool is analyzed and confirmed, a bond graph method is utilized to obtain a simulative effect picture of corresponding change relations of an input language variable and an output language variable; step3, combining the step 1 with the step 2 and according to the simulative effect picture, the change relations among the variables are analyzed, and dynamic optimization is carried out on a fuzzy control rule list. According to the numerical control machining parameter adaptive fuzzy control rule optimization method, a power bond graph method is utilized to optimize fuzzy control rules. The numerical control machining parameter adaptive fuzzy control rule optimization method is used on on-line adaptive control of numerical control machining parameters, the control performance and the machining stability of a fuzzy controller are improved.

Description

technical field [0001] The invention relates to the technical field of numerical control machining control in mechanical engineering, in particular to an optimization method of fuzzy control rules for online adjustment of numerical control machining parameters. Background technique [0002] Fuzzy control, as the most practical control method in the field of intelligence, has shown great application potential in the field of industrial control, household appliance automation and many other industries, and has become a very important and active field in the field of automatic control. branch. Especially in recent years, in NC machining, the fuzzy controller established by using this principle has realized the online optimization of machining parameters and the stable machining of machine tools. [0003] With the development of science and technology, the requirements for the quality of parts processing are getting higher and higher. The research on the optimization of CNC mac...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/18
CPCY02P70/10
Inventor 王太勇刘恒丽林福训王冬卢志理
Owner TIANJIN UNIV
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