Jacking and Energy Consumption Control Over Network for Jack-Up Rig: Simulation and Experiment

Do, Viet-Dung; Dang, Xuan-Kien; Tran, Tien-Dat; Pham, Thi Duyen-Anh

doi:10.2478/pomr-2022-0029

Abstract

Oil and gas projects differ from regular investment projects in that they are frequently large-scale, categorised as vital national projects, highly technological, and associated with significant risks. Drilling rigs are a crucial component of the oil and gas sector and the majority of the systems and equipment aboard drilling rigs are operated automatically. Consequently, it is crucial to address the topic of an advanced control theory for off-shore systems. Network technology connected to control is progressively being used to replace outdated technologies, together with other contemporary technologies. In this study, we examine how to adapt a networked control jacking system to the effects of internal and external disturbances with a time delay, using a Fuzzy controller (FC)-based particle swarm optimisation. To demonstrate the benefit of the proposed approach, the developed Fuzzy Particle Swarm Optimisation (FPSO) controller is compared with the fuzzy controller. Finally, the results from simulations and experiments utilising Matlab software and embedded systems demonstrate the suitability of the proposed approach.

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Jacking and Energy Consumption Control Over Network for Jack-Up Rig: Simulation and Experiment

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