| 数控机床神经元自适应位置控制算法 |
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| 引用本文： | 蒋锐权,吴祖育,蔡建国.数控机床神经元自适应位置控制算法[J].上海交通大学学报,2001,35(7):1088-1092. |
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| 作者姓名： | 蒋锐权 吴祖育 蔡建国 |
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| 作者单位： | 上海交通大学生产系统与控制技术研究所 |
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| 摘 要： | 在传统PID控制器的基础上，基于神经元的自学习特性，提出了适用于数控机床位置伺服控制的神经元控制器。该算法的特点是不需要系统建模，结构简单，控制参数实时自适应调节，运算简单，适用于工程实际应用。仿真和数控机床伺服系统的实时控制实验表明，当受控对象的运行环境未知时，该自适应控制算法仍然有效。
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| 关 键 词： | 计算机数字控制 位置伺服系统 神经网络 自适应控制 数控机床 自学习功能 |
| 文章编号： | 1006-2467(2001)07-1088-05 |
| 修稿时间： | 2000年6月27日 |
Neuron Based Adaptive Control Algorithm for CNC Positioning Servo System |
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| JIANG Rui quan,WU Zu yu,CAI Jian guo.Neuron Based Adaptive Control Algorithm for CNC Positioning Servo System[J].Journal of Shanghai Jiaotong University,2001,35(7):1088-1092. |
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| Authors: | JIANG Rui quan WU Zu yu CAI Jian guo |
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| Abstract: | Based on the feature of neuron self learning, a neuron based adaptive controller was proposed for the position servo control of CNC machine tools. The algorithm has an outstanding feature that the identification of system models is no longer necessary. Moreover, the simplicity of calculation makes the algorithm suitable for practical engineering application. A simulation research was also given. The control algorithm is applied to the real time control of position servo system of a CNC machine tool. The excellent experimental results illustrate the high effectiveness of the neuron based controller. |
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| Keywords: | computer numerically control (CNC) positioning servo system neural networks adaptive control |
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