| 基于多个软测量模型集成的温度控制 |
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| 引用本文： | 刘兴业,盛翊智,刘兴森. 基于多个软测量模型集成的温度控制[J]. 计算机与数字工程, 2011, 39(8): 166-170 |
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| 作者姓名： | 刘兴业 盛翊智 刘兴森 |
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| 作者单位： | 1. 华中科技大学控制科学与工程系 武汉430074
2. 中南大学信息科学与工程学院 长沙410012 |
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| 摘 要： | 论文提出了多个非线性软测量模型通过集成为一个模型来提高精确性和稳定性的思想。通过分析被控温度的影响因素，选取了影响温度并且容易在线测量的辅助变量，建立相应的模型，然后用回归建模的方法把建立的模型集成为一个模型，这样可以提高整个软测量的精度、稳定性和实时性等性能，通过实例分析和实际运行效果验证了这种方法的可行性和有效性。
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| 关 键 词： | 软测量 多模型集成 回归模型 温度控制 在线校正 |
Study on Soft Sensing Modeling Via Integrated Multiple Models in Temperature Control |
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| Liu Xingye,Sheng Yizhi,Liu Xingsen. Study on Soft Sensing Modeling Via Integrated Multiple Models in Temperature Control[J]. Computer and Digital Engineering, 2011, 39(8): 166-170 |
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| Authors: | Liu Xingye Sheng Yizhi Liu Xingsen |
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| Affiliation: | 2)(Department of Control Science & Engineering,HUST1),Wuhan 430074)(School of Information Science and Engineering,Central South University2),Changsha 410012) |
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| Abstract: | An model integrated by multiple models is proposed, in order to improve the accuracy and the stability of models. Some secondary variables was selected which are closely related to the temperature. Several models was constructed, and then regression model is employed to integrate the models. Consequently, the real-time performance and the accuracy of the model are improved. And the results of the models validate the soft sensing modeling. |
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| Keywords: | soft-sensing integration of multiple models regression model temperature control online calibration |
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