Improvement of the transfer function quality indicators of the power control system at the electric drill engine shaft

Abstract

In order to get better rigs performance the authors improve the schematic diagram of the power control system at the electric drill engine shaft using control input transfer function, where the electric drill is considered to be the control object which operates in conditions of a priori and current uncertainty under the influence of external perturbations. To improve the quality of the transient process under the conditions of changes in the parameters of the control object (when these parameters cannot be checked on), the authors have developed the algorithm of tuning the adaptive fuzzy PID controller based on the hybrid adaptive system. This algorithm includes the advantages of artificial neural networks and fuzzy logic. The efficiency of the algorithm with the parametric disturbance has been shown. It is concluded that the implementation of adaptive fuzzy PID controllers makes it possible to improve the quality of the transfer function of the power control system at the electric drill engine shaft when this drill operates in the indefinite conditions. The advantage of the developed algorithm is that it does not require special methods of the object parameters identification. Its implementation using modern microcontrollers is quite simple and accessible.