Analysis of the Control Strategy of the Intelligent Iron Roughneck’s Make-up and Break-out Fusion with Fuzzy Adaptive Control Algorithm

Abstract

Abstract The Iron roughneck is the supporting equipment of the drilling rig in the automatic drilling production. It can safely and efficiently complete the work of drilling tools such as up-and-down and tight-punching, but the up-and-down control has not yet reached full intelligence. Therefore, based on the principle of contact mechanics and tribology, this paper relies on fuzzy adaptive control algorithm to analyze the strength of the forceps and the pipe string, and the reasons for the wear of the forceps. Under the constraint conditions of friction torque meeting the requirements of up-and-shaking and not damaging the pipe string, the orthogonal design is used to analyze the influence of four factors on the equivalent friction coefficient when the clamp teeth are in contact with the outer wall of the pipe string. The up-and-down control strategy lays the theoretical foundation. The results show that the shape angle of the jaws has the greatest influence on the equivalent friction coefficient, while the influence of the crest chamfer radius is almost negligible.