摘要
针对滚动时域存在数据包随机丢失现象的问题,文中在网络化控制系统进行了系统状态估计的研究。通过分析含有估计器、控制器等设备的网络化控制系统,利用增广矩阵求解矩阵方程,建立了离散时间切换模型来描述该类系统的数据随机丢包现象。根据滚动时域优化策略,通过求解线性矩阵的加权矩阵解决了数据包丢失对系统状态估计的影响,进而提高了估计方法的合理性和有效性。最后,使用数值仿真对所提方法进行了验证,与以往文献的比对结果表明,文中所提出的估计方法具有更低的均方差误差。
Aiming at the problem of random packet loss in rolling time domain,the state estimation of networked control system is studied.By analyzing the networked control system with estimators,controllers and other devices,and using augmented matrix to solve the matrix equation,a discrete-time switching model is established to describe the phenomenon of data random packet loss.According to the rolling horizon optimization strategy,the influence of data packet loss on system state estimation is solved by solving the weighting matrix of linear matrix,which improves the rationality and effectiveness of the estimation method.Finally,numerical simulation is used to verify the proposed method.The comparison results with the previous literature show that the proposed method has lower mean square error.
作者
张进飞
薛斌强
ZHANG Jin-fei;XUE Bin-qiang(School of Automation,Qingdao University,Qingdao 266071,China)
出处
《电子设计工程》
2020年第6期121-124,129,共5页
Electronic Design Engineering
基金
国家自然科学基金青年项目(61603205)
中国博士后基金项目(2017M612205)
青岛市博士后应用项目(2016022)。
关键词
网络化状态估计
滚动时域
数据随机丢包
增广矩阵
networked state estimation
rolling time domain
data random packet loss
augmented matrix
