主汽温多模型扰动抑制预测控制方法

发布时间：2018-06-16 14:12

本文选题：多模型扰动抑制预测控制 + 主汽温系统　；参考：《中国电机工程学报》2014年32期

【摘要】：电站汽温控制系统结构复杂,机组运行过程中影响主汽温稳定的因素众多。主蒸汽流量变化、锅炉燃烧状况改变等因素均可能干扰主汽温稳定,影响机组运行的经济性和安全性。基于模型的预测控制算法在应对诸如煤质变化引起的烟气侧不可测扰动时,由于缺乏对扰动的建模,控制效果不理想。针对该问题,通过对过热器进行机理建模,并在额定工况点进行局部线性化获得状态空间模型,提出基于多模型集的主汽温扰动抑制预测控制方法。当不考虑不可测扰动时,其等价于普通的预测控制算法。仿真结果表明,该方法能够有效抑制进入汽温系统的不可测扰动,进一步提高汽温的调节品质。
[Abstract]:The structure of steam temperature control system in power station is complex, and there are many factors that affect the stability of main steam temperature in the operation of unit. The change of main steam flow rate and boiler combustion condition may disturb the stability of main steam temperature and affect the economy and safety of unit operation. When the model-based predictive control algorithm is used to deal with the undetectable disturbance on the flue gas side caused by the change of coal quality, the control effect is not satisfactory due to the lack of modeling of the disturbance. In order to solve this problem, the state space model is obtained by modeling the mechanism of superheater and linearizing locally at rated working conditions, and a predictive control method based on multi-model set is proposed to suppress the disturbance of main steam temperature. When unmeasurable disturbance is not considered, it is equivalent to ordinary predictive control algorithm. The simulation results show that the proposed method can effectively suppress the undetectable disturbances entering the steam temperature system and further improve the regulating quality of the steam temperature.
【作者单位】：能源热转换及其过程测控教育部重点实验室(东南大学);江苏省热工过程智能控制重点实验室(南京科远自动化集团股份有限公司);
【基金】：教育部高等学校博士学科点专项科研基金资助项目(20130092110061) 国家自然科学基金资助项目(51036002,51076027)~~
【分类号】：TM621

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