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Research on the electrical control system of AC frequency conversion rig was in response to the need for drilling and production, the electrical control system of automatic control technology in the application of drilling rig, combines in well drilling production and application of advanced control technology. At first this paper studies and analyzes the present development situation of domestic and foreign electric drive drilling rig, field bus technology on the basis of this, to Siemens SIMATIC S7 series of products for hardware, set up the control system of electric drive drilling rigs. The control system takes S7-300PLC as the main station, take ET200M as the slave station, with MP370 touch screen as man-machine interface, to monitor the WINCC system development drilling, these devices for data communication through the construction technology of PROFIBUS-DP field bus network. Due to the drilling process control process is nonlinear, the influence of process parameters of drilling control is also drilling change, and with the increase of depth control signal and the bottom hole drill after pressure between increases, according to these characteristics using BP algorithm of artificial neural network, designed the automatic drilling control system of intelligent. Then the BP neural network algorithm to design the simulation in MATLAB test, analysis of test results from the testing error, control signal output is less than 1.5%, to meet the requirements of drilling technology. Then according to the drilling process flow design of man-machine interface and process monitoring system. Finally, describes the reliability of electric control system of AC frequency conversion rig.
Research on the electrical control system of AC frequency conversion rigwas in response to the need for drilling and production, the electrical control system of automatic control technology in the application of drilling rig, combines in well drilling production and application of advanced control technology
Due to the drilling process control process is nonlinear, the influence ofprocess parameters of drilling control is also drilling change, and with theincrease of depth control signal and the bottom hole drill after pressure between increases, according to these characteristics using BP algorithm of artificial neural network, designed the automatic drilling control system of intelligent. Then the BP neural network algorithm to design the simulation in MATLAB test, analysis of test results from the testing error, control signaloutput of not more than 1.5%, to meet the requirements of drilling technology. Then according to the drilling process flow design of man-machine interface and process monitoring system. Finally, describes thereliability of electric control system of AC frequency conversion rig.
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