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.
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[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...
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