DRILLING RIG DRIVE PARAMETER IDENTIFICATION SYSTEM

Abstract

The purpose of the research is to develop and synthesize an effective system for identifying the parameters of the drilling rig drive, considering the specifics of its dynamic characteristics, to increase the accuracy of modeling, control and diagnostics of the technical condition of the drive.Research methodology. In the research process, a systematic approach was used to synthesize a system for identifying the parameters of the drilling rig drive, which involves a phased analysis of the dynamic characteristics of the control object, the development of an adequate mathematical model, and the implementation of adaptive identification algorithms.Research findings. The following methods of identifying drive parameters were analyzed: the least squares method (LSM), the model method with a reference adaptive mechanism (MRAS), Kalman filters (KF, EKF, UKF), frequency analysis methods, methods based on artificial intelligence (AI). Regarding the selected identification object, it is rational to apply the canonical non-search gradient self-tuning algorithm using an “auxiliary operator”, since it is possible to synthesize the desired algorithm based on integration operations with subsequent significant simplification, which contributes to increasing the speed of the entire system.Originality. The scientific novelty of the research lies in the development and synthesis of a new system for identifying the parameters of the drilling rig drive, which provides increased accuracy and speed using adaptive data processing algorithms and mathematical modeling. Unlike existing approaches, the work first proposes a method for combining real experimental data with an analytical model of the drive to refine dynamic parameters in real time.This allows significantly improving the efficiency of drive control in variable drilling conditions.The practical value of the research lies in the development of an effective system for identifying the parameters of the drilling rig drive, which allows for the accurate determination of variable dynamic characteristics of the drive in real time. The proposed approach provides increased control accuracy, reduced energy consumption, timely detection of deviations in the operation of the equipment and prediction of its technical condition. This contributes to increasing the reliability of drilling operations, reducing the risk of accidents and reducing equipment downtime, which is extremely important for mining and ore enterprises.