Research On Bit Pressure Control System Of Auto-drilling Based On BP Theory

In the field of oil drilling, the optimization of bit pressure real time in the process of Auto-drilling according to the fact is the goal. Band brake with excellent performance is the foundation of Auto-drilling with optimized bit pressure. Consequently, basing on the research of band brake auto-drilling with invariable bit pressure, the study on control technology of Auto-drilling with optimized bit pressure is presented in this paper.According to the characters of time delay, time variety, nonlinear, the design on the optimal control system of bit pressure with artificial neural network is presented in this paper. The pressure of band brake is controlled intelligently. The manual interfere is carried on in the abnormal case. The controller of artificial neural network starts to self-learn operations in the process of manual interfere, the parameters of the control system are modified to improve the characters and feasibility ulteriorly and the auto-drilling with optimized bit pressure is realized.The hardware and software of the bit pressure controller were designed in this paper in detail. Using Siemens s7-300 PLC to make up the hard core of the hardware and programming the software by simatic step7 version5.3. The system communicates with others peripheral equipments by profibus DP network.Matlab simulation is developed with the bit pressure controller of artificial neural network, the result of simulation is positive the analyses which is convergent and high ability of expand. The experiment in oil-mine is carried out. The result indicated that the control mode is efficient and response, stability of the system, control precision of draw-work operation are improved. All the characters index arrived the control requirement.