Kopystynskyy L. Automation of the process for controlling the load of electric drills using the method of the system structure adjusting

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0418U003240

Applicant for

Specialization

  • 05.13.07 - Автоматизація процесів керування

04-10-2018

Specialized Academic Board

Д 20.052.03

Ivano-Frankivsk National University of Oil and Gas

Essay

The thesis is devoted to the study of controlling the process of drilling wells with electric drills. The complex analysis and generalization of existing methods and means are carried out that are intended to synthesize automatic control systems of electric drills, the main directions of their development and improvement are determined. The connection between the investigated parameters of drilling processes at different moments of time and their degree of multicollinearity are established using Farrar-Glauber’s algorithm. The fractal dimension and Hurst's parameters for parameters and characteristics of the well drilling process with electric drills are analyzed by the means of R/S-analysis. The time series proved to be persistent and the process of drilling has a characteristic trend. The system structure for managing the wells drilling process with electric drill is improved using an adaptive block and positive feedback due to the frequency of bit rotation and depth of the well. The equation is obtained to determine the levels of corrective signals of positive feedback. The equation is introduced into the system of automatic power control consumed by the electric drill engine. The rules for changing the structure of the adaptation block are developed. According to them the control system of electric drills gets properties to adapt to the variability of electric drill parameters and characteristics and the environment. Based on Fuzzy Logic and Weich diagrams the synthesis of the structure of the adaptive system to control the wells drilling process with an electric drill is carried out. The set of Mamdani-type rules is developed for the adaptation unit based on the process of handling and converting fuzzy information when drilling vertical and sloping wells.

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