联合估计稳态算法及其在过程辨识中的应用

JOINT ESTIMATION STEADY ALGORITHM AND ITS APPLICATION TO PROCESS IDENTIFICATION

时滞和滤波联合估计问题是自适应系统建模和时滞估计两方面的交叉．本文针对先时滞后滤波的串联模型，提出基于快速横向滤波器的递推最小二乘算法，并以合成氨生产过程现场数据为例进行模型预测．仿真结果表明，这种结合时滞跟踪的自适应滤波器适于变时滞低阶系统建模．

,In industry production processes, there are many serial systems of delay and filter. Joint identification of delay and filter is the cross research area of adaptive system modeling and time delay estimation. For the system model in which the input signal is first delayed and then filtered, this paper develops a pre delay tracking recursive least squares filtering algorithm based on fast transversal filter realizations. The algorithm is applied to model prediction of a chemical industry process for synthetic ammonia. the simulation results justify that this kind of delay tracking adaptive filter is suitable for low order and varing time delay system modeling. 