| 基于神经网络技术的快速称重传感器研究 |
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| 引用本文： | 李戎,杨青锋.基于神经网络技术的快速称重传感器研究[J].衡器,2009,38(7):20-22. |
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| 作者姓名： | 李戎 杨青锋 |
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| 作者单位： | 1. 陕西工业职业技术学院电气工程系
2. 宁波控泰电气有限公司 |
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| 摘 要： | 本文着重阐述了基于神经网络理论，设计出称重传感器神经网络动态补偿器。通过实际模型及其分析提出了快速称重方法和提高传感器性能的原理，将先进控制理论应用于实际传感器系统中，为提高传感器性能开辟了新途径。
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| 关 键 词： | 称重传感器 神经网络 静态响应 动态响应 |
Research of quickly load cell based on neural network technology |
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| Abstract: | Based on theory of neural network, this article designed a kind of dynamic compensator of weighing sensor neural network. Through analyzing its practical model, the rapid weighing methods and the principle to improving the sensors＇ performance were developed. By applying the advanced control theory to the actual sensor system, the article opens up a new way to improve the sensors＇ performance. |
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| Keywords: | load cell neural network static response dynamic response |
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