State and parameter estimation of CSTR using joint-UKF

N. Vafamand, B. Safarinejadian
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Abstract

In many of nonlinear chemical processes, EKF algorithm has been widely used. This algorithm is not suitable for severe nonlinear dynamics. Recently UKF is preferred. UKF has more accurate approximation, but still is not suitable for time varying dynamics. To overcome this deficiency, a nonlinear joint (state and parameter) estimation algorithm based UKF is presented, which is called as Joint-UKF. Joint-UKF, Dual-EKF, Joint-UKF are applied to a CSTR with cooling jacket in which the production of propylene glycol happens and the results of simulation are evaluated.
基于联合ukf的CSTR状态和参数估计
在许多非线性化学过程中,EKF算法得到了广泛的应用。该算法不适用于严重的非线性动力学问题。最近UKF是首选。UKF有更精确的近似,但仍然不适合时变动力学。为了克服这一缺陷,提出了一种基于UKF的非线性联合(状态和参数)估计算法,称为joint -UKF。将Joint-UKF、Dual-EKF、Joint-UKF应用于带冷却套的CSTR生产丙二醇,并对模拟结果进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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