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采用最优状态估计的主蒸汽温度动态矩阵控制方法
引用本文:胡怀中,张建博,杨清宇.采用最优状态估计的主蒸汽温度动态矩阵控制方法[J].控制与决策,2019,34(7):1475-1480.
作者姓名:胡怀中  张建博  杨清宇
作者单位:西安交通大学 电子与信息工程学院,西安,710049;西安交通大学 电子与信息工程学院,西安,710049;西安交通大学 电子与信息工程学院,西安,710049
基金项目:国家自然科学基金项目(61673315);西安交通大学基本科研业务费研究项目(xjj2014048).
摘    要:针对主蒸汽温度控制系统不可测扰动影响的问题,提出一种基于最优状态估计的动态矩阵控制(OSE-DMC)算法.首先分析主蒸汽温度系统的动态特性,归纳出减温水量对主蒸汽温度影响的数学模型;然后基于常规DMC算法,利用最优估计理论对DMC算法的预测序列进行补偿修正,有效抑制不可测扰动的影响,并提出一种Kalman滤波的降维算法,使其计算更加简洁、便于实际应用与在线计算.Simulink仿真结果表明:在不可测扰动影响下,所提出方法抑制扰动效果比常规DMC算法提高20%,抑制扰动能力有显著提升.

关 键 词:主蒸汽温度  预测控制  动态矩阵控制(DMC)算法  最优状态估计

Dynamic matrix control for main steam temperature control system based on optimal state estimation
HU Huai-zhong,ZHANG Jian-bo and YANG Qing-yu.Dynamic matrix control for main steam temperature control system based on optimal state estimation[J].Control and Decision,2019,34(7):1475-1480.
Authors:HU Huai-zhong  ZHANG Jian-bo and YANG Qing-yu
Affiliation:School of Electronic and Information Engineering,Xián Jiaotong University,Xián 710049,China,School of Electronic and Information Engineering,Xián Jiaotong University,Xián 710049,China and School of Electronic and Information Engineering,Xián Jiaotong University,Xián 710049,China
Abstract:A method of dynamic matrix control based on optimal state estimation(OSE-DMC) is proposed for unmeasurable disturbances in a main steam temperature control system. Firstly, the dynamic characteristics and the mathematical model of main steam temperature with the disturbance of spray attemperator water are concluded based on the structure of the main steam temperature system. Then, a Kalman filter is designed to compensate the predictive sequence in the DMC algorithm according to the optimal state estimation theory. The influence of unmeasurable disturbance is effectively suppressed. In addition, a reduced-order algorithm for the Kalman filter is proposed to simplify calculation, which is convenient for practical application and on-line calculation. Simulation results show that the proposed method can increase the effect of disturbance suppression by 20% compared with the conventional DMC algorithm, and the capability of disturbance suppression is significantly improved.
Keywords:
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