广东石油化工学院学报2023，Vol.33Issue(6)：47-52,6.
动态系统加性干扰与状态估计的实时滤波方法
Real-time Filtering Method for Additive Disturbance and State Estimation of Dynamic Systems
摘要
Abstract
In the environment of dynamic system disturbed by uncertain factors,the accuracy of system state estimation is often not high due to model mismatch.For this reason,the case of additive interference in a class of linear system state model and measure-ment model is considered.By establishing the auxiliary dynamic equation of additive interference,an online identification method of additive interference statistical characteristics based on Kalman filter is given.Then,a Kalman filter for system state variable esti-mation considering the additive interference statistical characteristics of state model and measurement model is established.The anal-ysis method of the interaction between additive disturbances and their influence on the performance of state estimation filter is estab-lished.Finally,the effectiveness of the new method is verified by digital simulation.关键词
卡尔曼滤波器/状态估计/加性干扰Key words
Kalman filter/state estimation/additive interference分类
信息技术与安全科学引用本文复制引用
陈健,文成林..动态系统加性干扰与状态估计的实时滤波方法[J].广东石油化工学院学报,2023,33(6):47-52,6.基金项目
国家自然科学基金项目(61933013) （61933013）
广东省机器人与智能系统重点实验室开放基金项目(62125307) （62125307）
