Hierarchical fuzzy control method for numerical control milling process

A machining process, CNC milling technology, applied in the direction of digital control, program control, electrical program control, etc., can solve the problems of low metal cutting rate, cutting chip thickness, tool wear, etc.

Inactive Publication Date: 2007-08-29
TONGJI UNIV
View PDF1 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Method 1 takes the cutting force as the self-adaptive goal and needs to install a dynamometer. The dynamometer is too expensive, and its installation affects the fixed accuracy of the machined parts, and the operation reliability of the dynamometer cannot be obtained in the processing environment with serious interference. ensure
The control system in method 2 has these problems: (1) The applied spindle motor current is the self-adaptive target to determine the motor overload, and the condition is too single; (2) Only a single adjustment of the feed override switch may cause the spindle speed and feed rate to change. The mismatch of feed rate, fixed speed and too high feed rate will increase tool wear; too high feed will make the cutting piece too thick, which will cause machine tool vibration; fixed speed and too low feed rate It will also make the metal removal rate too low
(3) A single adjustment of the feed grading ratio switch can improve the steady-state error performance to a limited extent

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hierarchical fuzzy control method for numerical control milling process
  • Hierarchical fuzzy control method for numerical control milling process
  • Hierarchical fuzzy control method for numerical control milling process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] As shown in Fig. 1, it is the schematic diagram of hierarchical fuzzy hierarchical control of the present invention, P in the figure ref In order to set the reference spindle power value, the figure shows the relationship between the input and output of the I-level and II-level fuzzy controllers. The I-level fuzzy controller takes the power deviation value EP and the deviation change value ECP as input, and after quantization factor Ke , and Kce transformation after domain transformation and fuzzy processing, input the fuzzy reasoning machine, apply the Mamdani reasoning method to reason according to the given knowledge rules, the obtained fuzzy quantity is defuzzified by the center of gravity method, and the output of the I-level fuzzer is further Adjustment variation ΔU in the fuzzy domain of given multiplier f , the level II fuzzy controller uses the power deviation value EP and ΔU f As the input, enter the fuzzy reasoning machine, apply the Mamdani reasoning method...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a self-adjusting control method that uses step fuzzy and adopts gathers main axis power. It could adjust the feed ratio and main axis rotating speed ratio on line. On the serving links of on CNC-PLC and setting milling usage of NC program to realize rotating speed of main axis and adjusting online, the target of constraining main axis power of intelligent step control for milling process would be realized. It could effectively improve processing efficient and processing quality.

Description

technical field [0001] The invention belongs to the field of numerical control machining, and relates to a control method, in particular to a fuzzy control method for the numerical control milling process. Background technique [0002] Since the 1990s, the annual demand for CNC in my country has reached more than 20,000 units. How to give full play to the efficiency of equipment is an important issue that enterprises pay attention to. In the actual processing process, the processing variables are generally set in advance in the form of fixed parameters based on experience, and the NC program is compiled manually or through CAD / CAM and automatic programming systems before processing. In order to prevent the unpredictability of the processing process, conservative methods are often adopted. This method leads to a lower metal cutting rate, and it takes more time to calculate the amount to choose the appropriate cutting amount. In addition, there are emergencies, such as tool da...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/18G05B19/4155
Inventor 李爱平林献坤张为民刘雪梅冯小军左文涛
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products