Method for model mismatching detection and positioning of multivariate predictive control system in chemical process

A technology for predictive control and chemical process, applied in the field of fault diagnosis of process industrial control systems, it can solve problems such as complex and large systems, and achieve the effects of reducing interference, reducing maintenance costs, and ensuring safety.

Active Publication Date: 2011-09-14
ZHEJIANG UNIV
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Problems solved by technology

Since advanced control systems often contain hundreds or thousands of loops, the system is hug

Method used

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  • Method for model mismatching detection and positioning of multivariate predictive control system in chemical process
  • Method for model mismatching detection and positioning of multivariate predictive control system in chemical process
  • Method for model mismatching detection and positioning of multivariate predictive control system in chemical process

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Embodiment

[0064] The specific embodiment of the present invention will be further described below with regard to the solvent recovery process of a refined terephthalic acid (PTA) plant in a domestic factory as an example.

[0065] The solvent recovery process of the PTA unit, the flow chart is as follows figure 2 shown. The solvent recovery tower T403 uses a mixture of acetic acid and water as raw materials; the liquid phase at the bottom of the tower is heated by the reboiler E403 and then returned to the tower, and the extracted acetic acid at the bottom of the tower is returned to the PTA device for recycling; the gas phase at the top of the tower passes through the condenser E404 and enters reflux Tank D404, part of which is returned to the tower as reflux, and the rest of the waste water is discharged. Among them, the heating amount of steam at the bottom of the tower FIC424 and the temperature of the bottom of the tower TIC424 form a PID cascade loop. In the MPC controller, TIC...

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Abstract

The invention discloses a method for model mismatching detection and positioning of a multivariate predictive control system in a chemical process. By aiming at the typical hierarchical control system in the traditional process industry, the model mismatching detection and positioning is carried out respectively on a multivariate system and all univariate subsystems in the multivariate system. The method comprises the steps of: acquiring residual errors of the multivariate system in a predicative control layer on the basis of an orthogonal projection method, constructing a monitoring statistic computing engine, and acquiring the residual errors, sensitive to process dynamic characteristic variation only, of the univariate system on the basis of an auxiliary variable identification method.In the invention, closed-loop operation data is adopted directly and additional information of the system is not needed; rapid detection and positioning can be made just by utilizing a small amount of data so that fewer disturbances are made to a working condition; and the mismatching information of process models of all univariate subsystems in the multivariate system can be positioned so as to eliminate the influence of the disturbances. By means of the method disclosed by the invention, the accurate model mismatching information can be obtained rapidly at lower cost, the maintenance cost of the predictive control system can be reduced, the service life of the predicative control system can be prolonged and the gain can be improved.

Description

technical field [0001] The invention relates to the field of fault diagnosis of control systems in process industries such as petroleum and chemical industry, and in particular relates to a model mismatch detection and positioning method for a multivariable predictive control system in a chemical process. Background technique [0002] In recent years, advanced control strategies represented by predictive control technology (MPC, Model Predictive Control) have been widely used in petroleum, chemical, paper, pharmaceutical and other process industries. MPC can effectively deal with various complex multivariable systems Control problems, improve control performance, reduce energy consumption, and increase economic benefits. These control systems run well in the initial stage of operation, but as time goes by, the characteristics of the controlled object caused by factors such as equipment aging will cause the control performance to decay. , Internationally, the life of a set o...

Claims

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Application Information

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IPC IPC(8): G01R31/00
Inventor 苏宏业陈贵杨江谢磊
Owner ZHEJIANG UNIV
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