摘要
针对工业锅炉烟气含氧量的测量,文章给出了一种基于直接广义预测算法的烟气含氧量软测量方法,运用该方法能够客观反映锅炉燃烧过程中任何时段的真实情况,提高烟气含氧量的测量精度,优化锅炉燃烧控制系数的性能。利用现场实际数据对该方法进行了仿真验证,仿真结果果表明了该软测量方法的有效性。
A kind of soft-sensing method of O2 content in flue gas based on direct generalized predictive control（GPC）algorithm is presented considering the problem of O2 content in the industrial boiler. This soft sensor structured by direct 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. A simulation verification of the method has been conducted by using on-site industrial data. The result show that soft sensor technique is effective.
出处
《传感技术学报》
CAS
CSCD
北大核心
2009年第8期1213-1216,共4页
Chinese Journal of Sensors and Actuators
基金
教育部博士点基金资助(2006011600)
河北省自然科学基金资助(08B018)
