改进的步进式神经网络PID对石油钻机的控制

Control of Petroleum Drilling Machine Based on the Improving Hybrid of Neural Network and PID by Gradual Approaching Value

介绍了神经网络和一种误差逼近的步进式PID控制相结合的控制算法在电驱动石油钻机中的应用,并和传统的PID、神经网络PID的响应做了对比。该方法可以克服传统方法需要建立数学模型的缺陷,稳定性好,能够满足钻进过程控制对实时性的要求,并给出了仿真结果。

A method that applied in Power Driver Petroleum Drilling Machine control based on the hybrid of Neural Network and PID by gradual approaching error value introduced, and responded to do contrast with traditional PID, the nerve network PID, the method can overcome the shortcomings that the traditional methods need to build up mathematical model, good stability, and meet the repuirements that the drilling control demands good real time, And the result of computer simulation was given.