| With the development of most oilifelds in china, the geology and wellbore structurebccome more complex, so how to reduce the cost of dirlling, explore the well successfully,increase the drilling eiffciency d lit.anensure drilling quay and erduce drilling accident arebecoming the key subject of modern dirlling engineeirng. In recent years, engineers makegreat efforts to achieve closed-loop drilling automation system, they attempt to make the laborfree from drilling operation and avoid all kinds of saft problems, so as to improve controlaccuracy of well trajectory and the overall economic benefits.Steerable rotary drilling technology is the key part of the closed-loop drilling automationsystem, which represent the forefront technology of petroleum industry. Some commercialproducts have been taken into application in foreign countires, while in China it is still inresearch and expeirment. Based on steerable rotary drilling tool stabilizing platform suppliedby Shengli oilfield drilling technology research institute. This paper studys the electricalcontrol for the steerable rotary drilling tool system. The mathematical model of control systemis established by previous experiences, the hardware circuit is designed based on mainmicroprocessor DSPIC30F5011. Intelligent PID and fuzzy control arc proposed for thestabilizing platform, which is a servo system with large inertia. The difference between thosestrategies and the conventional control strategies arc also explained in detail. Firstly softwareis designed by language C, and then the system is ran for a peirod of time with the target codeinto DSPIC30F5011. Atfer the system power shut down, the dynamic response curve of thecontrolled object is observed and analyzed by data extracting sotfware.The expeirmental data shows that intelligent PID has better static response for inertialscrolling servo system, but once a large interference occurs, it needs more time to adjust.Fuzzy control has ideal dynamic response curve, and it has strong anti-intcrfcrcncc and betterrobustness. In a word, the fuzzy control is more applicable for stabilizing platform control ofrotary steeirng dirlling tool, which also can be used for other large inetrial scrolling servosystem. |
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