| 基于神经网络的静力压桩机的液压同步控制系统 |
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| 引用本文： | 任金霞. 基于神经网络的静力压桩机的液压同步控制系统[J]. 机床与液压, 2006, 0(12): 185-186 |
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| 作者姓名： | 任金霞 |
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| 作者单位： | 江西理工大学机电工程学院,江西赣州,341000 |
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| 摘 要： | 静力压桩机的液压控制系统是一个非线性、耦合的时变系统，一般的PID控制无法达到满意的效果。因此，本文提出了一种基于神经网络整定的PID和一种改进的主从位置同步系统结构，其仿真结果表明这种神经网络整定的PID的改进的主从位置同步控制方案具有比利用常规数字PID的经典主从位置同步控制方案更好的控制效果。
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| 关 键 词： | 液压同步控制 PID控制 神经网络 仿真 |
| 文章编号： | 1001-3881(2006)12-185-2 |
| 收稿时间： | 2006-09-19 |
| 修稿时间： | 2006-09-19 |
Hydraulic Pressure Synchronization Control System Based on Neural Network of the Static Pile Pressing-in Machine |
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| REN Jinxia. Hydraulic Pressure Synchronization Control System Based on Neural Network of the Static Pile Pressing-in Machine[J]. Machine Tool & Hydraulics, 2006, 0(12): 185-186 |
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| Authors: | REN Jinxia |
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| Affiliation: | Faculty of Mechanical and Electronic Engineering, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China |
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| Abstract: | The static pile pressing - in machine hydraulic control system is a non - linear and coupling time - variant system, the general PID control is unable to achieve satisfacory effect. A kind of new PID based on neural network and a kind of improvement position synchronous system structure that a controller track the other were put forward. Simulation results indicate this scheme is more effective than conventional PID control. |
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| Keywords: | Hydraulic pressure synchronization control PID control Neural network Simulation |
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