| 流量试验装置介质油变黏度人工神经网络控制 |
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| 引用本文： | 许伟明,左小五,王静,张佩.流量试验装置介质油变黏度人工神经网络控制[J].上海理工大学学报(社会科学版),2007,29(5):491-494. |
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| 作者姓名： | 许伟明 左小五 王静 张佩 |
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| 作者单位： | 上海理工大学光学与电子信息工程学院 上海200093 |
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| 摘 要： | 设计了基于误差反向传播(BP)人工神经网络原理的自适应比例微分积分(PID)智能控制器.采用组件对象模型(COM)的调用技术,建立了MATLAB语言的底层控制算法与Lab VIEW虚拟仪器平台的无缝接口.将此控制器应用于流量试验装置的介质油变黏度控制,在变工作点的控制实验中,表明此方法是可行的.
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| 关 键 词： | 神经网络 组件对象模型 控制 |
Neural network intellectual control applied in the oil test set with varying slime |
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| XU Wei-ming,ZUO Xiao-wu,WANG Jing,ZHANG Pei.Neural network intellectual control applied in the oil test set with varying slime[J].Journal of University of Shanghai For Science and Technilogy(Social Science),2007,29(5):491-494. |
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| Authors: | XU Wei-ming ZUO Xiao-wu WANG Jing ZHANG Pei |
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| Institution: | College of Optical and Electronic Information Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | Self-adaptive PID intelligent controller based on BP artificial neural network was designed adopting the technology of component object model transferring and the nonslot interface between bottom control arithmetic based on MATLAB and virtual instrument based on LabVIEW were established.The controller has been applied in the liquid test equipment with varying viscosity oil medium.The experiment shows the technology is available on the condition of varying operating point. |
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| Keywords: | neural network component object model control |
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