基于无迹卡尔曼滤波的非线性解耦方法在火电机组中的应用研究  

Application of nonlinear decoupling method based on unscented Kalman filter in thermal power units

作　　者：王永刚[1] 孙羽苗 张楠楠 孝锐敏 张明鉴 WANG Yonggang;SUN Yumiao;ZHANG Nannan;XIAO Ruimin;ZHANG Mingjian(School of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang 110866;State Grid Liaoning Maintenance Company,Shenyang 110003)

机构地区：[1]沈阳农业大学信息与电气工程学院,沈阳110866 [2]国网辽宁省电力有限公司检修分公司,沈阳110003

出　　处：《电气技术》2021年第8期15-24,共10页Electrical Engineering

基　　金：国家自然科学基金(61673281,61903264);辽宁省自然科学基金(2019-KF-03-01)。

摘　　要：针对火电机组存在强耦合、强非线性和参数不确定性,难以采用常规控制方法对其进行有效控制的问题,本文首先分析系统的非线性强度及系统的模型参数不确定性对系统的影响,在深入了解系统动态特性的基础上,对系统参数采用无迹卡尔曼滤波(UKF)方法进行估计,采用全局线性化控制(GLC)策略对上述系统进行控制。仿真结果表明,采用UKF方法能够快速有效地估计模型的不确定参数,基于GLC的方法与反馈线性化控制方法相比,提高了系统的控制性能。该模型具有较强的鲁棒性,可为实际生产提供技术支持和理论指导。In view of the strong coupling,strong nonlinearity and parameter uncertainty of thermal power units,it is difficult to use conventional control methods to effectively control them.This article first analyzes the influence of the system’s nonlinear strength and the system’s model parameter uncertainty on the system.On the basis of in-depth understanding of the dynamic characteristics of the system,the system parameters are estimated by the unscented Kalman filter(UKF)method.The above system is controlled by global linearized control(GLC)strategy.The simulation results show that the UKF method can quickly and effectively estimate the uncertain parameters of this model.In this paper,compared with the feedback linearization control method,the GLC control method could improve the control performance of the system.This model has strong robustness and could provide technical support and theoretical guidance for actual production.

关 键 词：火电机组 非线性解耦控制 全局线性化控制(GLC) 参数估计 无迹卡尔曼滤波(UKF) 

分 类 号：TM621[电气工程—电力系统及自动化]