Application Of Neural Network and Fuzzy Logic System, Optimal Control Combination To Design Vibration Damping Drill Press Force Controller For CBШ-250T Rotary Drilling Machine

Abstract

The paper introduces fuzzy compensation control algorithm based on fuzzy logic tool to adjust the opening voltage of elector-hydraulic throttle to control the drilling force of CБШ-250T rotary drilling machine.The proposed solution is to use an artificial neural network to replace the vibration sensor to recognize the amplitude and frequency of axial vibration on the rotary drilling machine. Vibration amplitude, vibration frequency, and drill bit pressure setting are input variables for fuzzy logic system. This system has the function of inferring and deciding the parameters that need to be properly compensated with the goal of reducing vibration for the drill, and at the same time, in order to take advantage of the maximum power of the drill rotary motor, the drilling force of the system is required.The evaluation results are verified through modeling using the Simulink mat-lab tool, which can be applied to the current control system to improve and improve the quality of the existing control in order to reduce vibration for the CБШ-250T rotary drilling machine, which are now being used most in open mines in Quang Ninh, Viet Nam.