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CSTR (Continuous Stirred Tank Reactor) model parameter identification method based on unscented Kalman filtering algorithm

An unscented Kalman and filter algorithm technology, applied in the field of CSTR model parameter identification, can solve the problems of divergence of identification results and inability to obtain correct results

Inactive Publication Date: 2016-09-28
BOHAI UNIV
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Problems solved by technology

However, the existing methods, such as extended Kalman filter, etc., the identification results of these methods sometimes diverge, and the correct results cannot be obtained

Method used

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  • CSTR (Continuous Stirred Tank Reactor) model parameter identification method based on unscented Kalman filtering algorithm
  • CSTR (Continuous Stirred Tank Reactor) model parameter identification method based on unscented Kalman filtering algorithm
  • CSTR (Continuous Stirred Tank Reactor) model parameter identification method based on unscented Kalman filtering algorithm

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Embodiment Construction

[0043] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0044] Such as figure 1 As shown, the CSTR model parameter identification method includes the following steps:

[0045] (1) Obtain the state space expression including the parameters to be identified of the CSTR model in the state component.

[0046] (2) Using the Euler algorithm to discretize the continuous state space expression to obtain the discretized state space expression.

[0047] (3) Initialization, including: setting the initial value of parameter identification initial parameter ide...

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Abstract

The invention discloses a CSTR (Continuous Stirred Tank Reactor) model parameter identification method based on an unscented Kalman filtering algorithm. The method comprises the following steps: according to a CSTR continuous system model, obtaining a state spatial expression of which the state component contains a parameter to be identified; then, in virtue of an Euler algorithm, carrying out discretization processing on the obtained non-linear continuous state spatial expression to obtain a corresponding discrete iteration model; and finally, applying the unscented Kalman filtering algorithm to carry out multi-time iteration identification, and obtaining an accurate identification result. The algorithm has good astringency, is easy in combining with traditional software and has a good engineering application prospect.

Description

technical field [0001] The invention relates to a CSTR model parameter identification method based on an unscented Kalman filter algorithm, and belongs to the technical field of system modeling and parameter identification. Background technique [0002] The continuous stirred tank reactor (CSTR) is a typical and highly nonlinear chemical reaction system in the chemical production process. It occupies a very important position in the core equipment of chemical production. In the dyestuff, pharmaceutical reagent, food and synthetic material industries, CSTR system has been widely used. [0003] Due to the important role of CSTR in chemical production, it is necessary to study the process in detail. When analyzing the model of CSTR, the parameters of the model are sometimes unknown, so it is of great engineering significance to study the identification method of the model parameters of CSTR. However, the existing methods such as extended Kalman filter, etc., the identificatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 周琪于占东王焕清王巍
Owner BOHAI UNIV
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