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Year 2020
 
Vol 61, Issue 6, [12 - 2020] - Full papers

Application of fuzzy-logic to design fuzzy compensation controller for speed control system to reduce vibration of CBШ-250T drilling machine in mining industry

DOI:10.46326/JMES.2020.61(6).10

  • Affiliations:

    1 Dong Nai University of Technology ,Vietnam,
    2 Hanoi University of Mining and Geology, Hanoi, Vietnam

  • *Corresponding:
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  • Received: 25th-Aug-2020
  • Revised: 6th-Dec-2020
  • Accepted: 31st-Dec-2020
  • Online: 31st-Dec-2020
Pages: 90 - 96
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Cited by: 5

Abstract:

The paper introduces fuzzy compensation control algorithm based on fuzzy logic to control the rotation speed in CБШ-250T drilling machine. The proposed solution uses an artificial neural network instead of a vibration measuring sensor to identify the amplitude and vibration frequency on a rotary drill. The vibration amplitude, vibration frequency and setpoint of the drilling speed are the input variables for the fuzzy logic unit. The fuzzy tool will diagnose the compensatory parameter δα with the target to reduce the vibration of the drilling equipment. The results were tested through modeling using Simulink_matlab tool. It can be applied to control system to improve control quality, and reduce vibration for CБШ-250T drilling machine, which is being operated on mines in Quang Ninh area.

How to Cite
Le, D.Ngoc and Dang, C. Van 2020. Application of fuzzy-logic to design fuzzy compensation controller for speed control system to reduce vibration of CBШ-250T drilling machine in mining industry. Journal of Mining and Earth Sciences. 61, 6 (Dec, 2020), 90-96. DOI:https://doi.org/10.46326/JMES.2020.61(6).10.
References

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