Interval type-2 fuzzy logic-based two-order fuzzy control method for micro electrical discharge
A type-two interval fuzzy and fuzzy control technology, applied in adaptive control, general control system, control/adjustment system, etc., can solve problems such as large uncertainty, insufficient integration of processing experience, and unstable processing process
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Embodiment approach 1
[0049] Embodiment 1 In the micro-EDM system with the processing conditions as shown above, an aluminum plate with a thickness of 1 mm is selected as the workpiece, and the traditional automatic feed control method based on the average voltage method, the traditional type-one fuzzy control method and the present invention are respectively adopted. The proposed two-stage interval type II fuzzy control method processes 5 small holes each, and the average processing time is shown in Table 3:
[0050] The average processing time of the three processing methods in Table 3 Embodiment 1
[0051]
[0052] Through the comparison of the results of Embodiment 1, it can be seen that the processing efficiency of the application of the two-order interval-type two fuzzy control method proposed by the present invention is 41.3% higher than that of the traditional automatic feed control method based on the average voltage method, and it is higher than the traditional one-type fuzzy control me...
Embodiment approach 2
[0053] Embodiment 2 keeps the processing parameters unchanged, selects an aluminum plate with a thickness of 2mm as the workpiece, and still uses the above three control methods to process 5 small holes respectively. The average processing time is shown in Table 4:
[0054] The average processing time of the three processing methods in Table 4 Embodiment 2
[0055]
[0056] It can be seen from the results of Embodiment 2 that when the thickness of the aluminum plate workpiece is increased from 1mm to 2mm, that is, when the small hole depth-to-diameter ratio is increased from 10:1 to 20:1, the two-order interval type II fuzzy method proposed by the present invention is applied. The processing efficiency of the control method is 51.6% higher than that of the traditional automatic feed control method based on the average voltage method, and 31.6% higher than the traditional type I fuzzy control method. In addition, for the same processing experimental conditions, when the dept...
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