| 张红亮，李龙飞.基于BP神经网络算法的卷接机组工艺风力PID控制[J].南华大学学报(自然科学版),2013,27(1):53~57.[ZHANG Hong liang1，LI Long fei2.PID Control of Cigarette Process Wind Based on BP Neural Network[J].Journal of University of South China(Science and Technology),2013,27(1):53~57.] |
| 基于BP神经网络算法的卷接机组工艺风力PID控制 |
| PID Control of Cigarette Process Wind Based on BP Neural Network |
| 投稿时间：2013-01-21 |
| DOI： |
| 中文关键词: 卷接机组 工艺风力 BP算法 PID |
| 英文关键词:Cigarette Makers Wind control BP algorithm PID |
| 基金项目:衡阳科技局基金资助项目（2012KJ6） |
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| 摘要点击次数: 2013 |
| 全文下载次数: 3641 |
| 中文摘要: |
| 针对卷接机组集中工艺风力与除尘系统，研究了基于BP神经网络的PID控制器算法的数学模型，对模型中的未知参数K和风机效率参数ξ，采用最小二乘在线辨识.在InTouch开发环境下实现算法功能，在PLC中实现PID输出控制，达到了预期的控制目的. |
| 英文摘要: |
| In this paper mathematical control model of PID controller algorithm based on BP neural network is studied for Cigarette Process Wind.The parameters K of mathematical control model and fan efficiency ξ are identificated by least squares identification online.BP algorithm function is realized by PC InTouch，PID output control is realized by PLC.The anticipated result of PID controller algorithm based on BP neural network for Cigarette Process Wind is achieved. |
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