Abstract
Aiming at the difficulties in realizing the accurate control due to the nonlinearity of the automatic drilling system of oil drilling rig, a design scheme is proposed by giving a constant drilled-pressure to the rig for fuzzy control. Sampling error with changes in the signal was sent into the fuzzy controller, which turned the signal into a fuzzy volume. Subsequently, a precise volume was obtained accordingly and then added to an actuator for the motor control. According to the MATLAB simulation results, the response could be faster and more stable compared with the traditional control.
Highlights
When the drill string is drilling downward, friction comes along
An automatic drilling system under constant drilling pressure mainly involves the use of the PlD control technology [1,2,3]
The design method of control algorithm and system model based on the starting point and the performance index is different, lead to large differences; but a system language control rule has relative independence, using these fuzzy control rules between the connection, easy to find compromise choice, the control effect is better than the conventional controller
Summary
When the drill string is drilling downward, friction comes along. In the early stage, the drilling system was controlled by manual feeding with a simple structure. The drilling pressure is influenced by the geologic structure, including such characteristics as multi-variable, strong coupling and nonlinearity [4, 5]. It is not as easy as it looks to establish the time-delay, timevarying and non-linear mathematical models. The constant-weight-pressure automatic drilling control system was investigated with the drilling rig based on fuzzy control. The design method of control algorithm and system model based on the starting point and the performance index is different, lead to large differences; but a system language control rule has relative independence, using these fuzzy control rules between the connection, easy to find compromise choice, the control effect is better than the conventional controller. The robustness of fuzzy control system is strong, and the influence of disturbance and parameter change on control effect is greatly weakened, especially for nonlinear, time-varying and pure time-delay systems
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