燕山大学电气工程学院,河北,秦皇岛,066004
纸质出版:2006
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郑德忠, 何 群. 基于新型广义预测算法的含氧量软测量研究[J]. 电子学报, 2006,34(12):2255-2258.
ZHENG De-zhong, HE Qun. The Research of Soft-Sensing Method of Oxygen Content in Flue Gas Based on New Generalized Predictive Algorithm[J]. Acta Electronica Sinica, 2006, 34(12): 2255-2258.
文章给出了一种基于新型广义预测算法的烟气含氧量软测量方法
并与传统GPC算法软仪表以及氧化锆仪表的烟气含氧量进行了对比测量
结果表明运用新型广义预测控制算法构建的软仪表能够客观反映锅炉燃烧过程中任何时段的真实情况
提高了烟气含氧量的测量精度
优化了锅炉燃烧控制系数的性能.基于广义预测的含氧量软测量技术为工业锅炉的氧量测量提供了新的手段
也为锅炉燃烧过程中其它关键参数如烟气温度的准确、实时、在线软测量开辟了新的途径
对实现燃烧系统的闭环控制和优化运行具有重要的意义.
This paper presents a kind of soft-sensing method of oxygen content in flue gas based on new generalized predictive control (GPC) algorithm.Contrastive measurement of oxygen content in flue gas between soft sensor based on traditional GPC algorithm
zirconia sensor and the method in this paper is done
whose results show that the soft sensor structured by new GPC algorithm can reflect the actual conditions of any period time in boiler combustion process
improves the measurement precision and optimizes the capability of boiler combustion control coefficients.Soft-sensing technique of oxygen content in flue gas based on new GPC algorithm provides a new method for industrial boiler oxygen measurement
paves a new way for key parameters measurement
such as accurate
real-time
on-line soft sensing of gas temperature
and has significant meaning for the realization of combustion system’s closed-loop control and optimization running.
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