中国电机工程学报Issue(32)：5763-5770,8.DOI:10.13334/j.0258-8013.pcsee.2014.32.010
主汽温多模型扰动抑制预测控制方法
Multiple Model Disturbance Rejection Predictive Control of Main Steam Temperature
摘要
Abstract
There are many factors affecting the stability of the main steam temperature (MST) in thermal power plant operation due to its complex structure. Variations of the main steam flow and boiler combustion condition are all possible disturbances affecting the stability of the MST, and further threatening the safety and economy of the entire power plant. Conventional model predictive control (MPC), because of its lack of disturbances modeling, often fails to reject unknown disturbances caused by uncertain disturbances such as coal quality variations in the fuel gas side. To solve this problem, this paper proposed a multiple disturbance model predictive control (MDMPC) for the MST system. An analytical superheater model was first established, and then a local state space model was derived at the rated load and was used in simulations. It proves that MDMPC is equivalent to the conventional MPC when no active disturbances exist. Simulation results also demonstrate the MDMPC’s successful rejection of unknown disturbances entering the MST system, which further improves the control quality of the MST system.关键词
多模型扰动抑制预测控制/主汽温系统/热力发电厂/卡尔曼滤波Key words
multiple model disturbance rejection predictive control/main steam temperature/thermal power plant/Kalman filter分类
能源科技引用本文复制引用
赵慧荣,沈炯,沈德明,李益国..主汽温多模型扰动抑制预测控制方法[J].中国电机工程学报,2014,(32):5763-5770,8.基金项目
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)。Specialized Research Fund for the Doctoral Program of Higher Education (20130092110061) （20130092110061）
National Natural Science Foundation of China (51036002,51076027) （51036002,51076027）
