| 神经元PID在FA467粗纱机速度控制中的应用 |
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| 引用本文： | 陈宗雨,王立峰,李加文,李从心,王占行.神经元PID在FA467粗纱机速度控制中的应用[J].青岛大学学报(工程技术版),2005,20(2):62-66. |
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| 作者姓名： | 陈宗雨 王立峰 李加文 李从心 王占行 |
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| 作者单位： | 1. 上海交通大学模具CAD国家工程研究中心,上海,200030
2. 河北太行机械有限责任公司,河北,石家庄,051430 |
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| 摘 要： | FA467粗纱机控制系统属于大惯量、非线性时变系统，采用传统的PID和通常的自适应控制都不能满足本系统的要求。本文在吸收传统PID控制器简单易懂，不需精确的系统模型优点的基础上，采用一种基于神经网络与PID控制相结合的神经元PID速度控制方法。利用单神经元的自学习、自适应特性，在线改变增益权值，代替传统的PID固定增益，以提高跟踪性能和响应速度。实验证实，该方法大大减少了粗纱机故障几率。
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| 关 键 词： | 神经元PID 粗纱机 速度控制 |
| 文章编号： | 1006-9798(2005)01-0062-05 |
| 修稿时间： | 2004年11月1日 |
The Application of Neuron-PID in the Velocity Control of FA467 Roving Frame |
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| CHEN Zong-yu,WANG Li-feng,LI Jia-wen,LI Cong-xin,WANG Zhan-hang.The Application of Neuron-PID in the Velocity Control of FA467 Roving Frame[J].Journal of Qingdao University(Engineering & Technology Edition),2005,20(2):62-66. |
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| Authors: | CHEN Zong-yu WANG Li-feng LI Jia-wen LI Cong-xin WANG Zhan-hang |
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| Abstract: | FA467 roving frame control system is a large inertia and nonlinear system, traditional PID and self-adaption control method can not satisfy the need of this system. In this paper, on the basis of absorbing the traditional PID advantages, such as simplification and no need of accurate system model, and taking the self-learning and self-adaption characters of Neural Net control method, Neuron-PID control system is introduced to replace the traditional PID control system. Then, the gain weights may be changed on-line to improve the responding speed and following performance. It is proved that the method is practical by field test. |
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| Keywords: | Neuron-PID roving frame velocity control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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