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改进的步进式神经网络PID对石油钻机的控制
引用本文:王智慧,张兴莲,贺昱曜,徐伟.改进的步进式神经网络PID对石油钻机的控制[J].低压电器,2007(7):15-17,54.
作者姓名:王智慧  张兴莲  贺昱曜  徐伟
作者单位:1. 长安大学,陕西,西安,710064;陕西航空电气有限责任公司,陕西,兴平,713107
2. 长安大学,陕西,西安,710064
3. 西安宝美电气工业有限公司,陕西,西安,710061
摘    要: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.

关 键 词:步进式  神经网络  石油钻机  自动送钻
文章编号:1001-5531(2007)07-0015-03
修稿时间:2006-06-16

Control of Petroleum Drilling Machine Based on the Improving Hybrid of Neural Network and PID by Gradual Approaching Value
WANG Zhihui,ZHANG Xinglian,HE Yuyao,XU Wei.Control of Petroleum Drilling Machine Based on the Improving Hybrid of Neural Network and PID by Gradual Approaching Value[J].Low Voltage Apparatus,2007(7):15-17,54.
Authors:WANG Zhihui  ZHANG Xinglian  HE Yuyao  XU Wei
Abstract: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.
Keywords:gradual approaching value  neural network  petroleum drilling machine  automatic drilling
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