| 基于多变量广义预测的烟气含氧量软测量研究 |
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| 引用本文： | 孙灵芳,李茹艳. 基于多变量广义预测的烟气含氧量软测量研究[J]. 自动化技术与应用, 2012, 31(7): 1-3,8 |
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| 作者姓名： | 孙灵芳 李茹艳 |
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| 作者单位： | 东北电力大学自动化工程学院,吉林 吉林,132012 |
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| 摘 要： | 本文给出了一种基于多变量广义预测的烟气含氧量软测量方法，对预测输出模型系数直接辨识，避免了求解丢番图方程的过程，并采用粒子群优化算法对模型参数进行优化选择，快速选取预测参数的最佳组合，有利于提高模型的预测精度。仿真结果证明了该方法的有效性。
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| 关 键 词： | 烟气含氧量 多变量广义预测 粒子群 |
The Study of the Soft Sensing of Oxygen Content in Flue Gases Based on Multivariable Generalized Predictive Control |
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| SUN Ling-fang , LI Ru-yan. The Study of the Soft Sensing of Oxygen Content in Flue Gases Based on Multivariable Generalized Predictive Control[J]. Techniques of Automation and Applications, 2012, 31(7): 1-3,8 |
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| Authors: | SUN Ling-fang LI Ru-yan |
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| Affiliation: | (School of Automation Engineering of Northeast Electric Power University,Jilin 132012 China) |
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| Abstract: | This paper presents a kind of soft sensing of oxygen content in flue gases based on multivariable generalized predictive control.Directly identifying the output model coefficients avoids the solving diophantine equation.And using particle swarm optimization(PSO) to optimize the parameters combination of the model,selects the best parameters combination quickly to predict oxygen content.Simulation results show the predict method is effective. |
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| Keywords: | oxygen content in flue gases multivariable generalized predictive control particle swarm optimization |
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