Styrene bulk polymerization anti-interference distribution shape control method based on interference observer

A technology of interference observer and bulk aggregation, applied in adaptive control, general control system, control/regulation system, etc., can solve problems such as poor stability, particle size distribution shape control, etc.

Active Publication Date: 2021-04-20
YANGZHOU UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to provide a styrene bulk polymerization anti-interference distribution shape control method based on an interference observer, which is used to solve the problems of poor stability and particle size distribution shape control under the condition of input interference in the existing reaction system

Method used

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  • Styrene bulk polymerization anti-interference distribution shape control method based on interference observer
  • Styrene bulk polymerization anti-interference distribution shape control method based on interference observer
  • Styrene bulk polymerization anti-interference distribution shape control method based on interference observer

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Embodiment Construction

[0062] Such as figure 1 The shown method for controlling the anti-disturbance distribution shape of a chemical polymerization system based on a disturbance observer includes the following steps:

[0063] Step 1) According to the elementary reaction of styrene bulk polymerization, the molecular weight distribution model of the polymer is obtained; specifically: the operation of bulk free radical polymerization is carried out in a continuous stirred tank reactor, the reaction monomer is styrene, and the initiator It is azobisisobutyronitrile, the two streams involved in the reaction, the monomer and the initiator dissolved in the monomer, are pumped into the reactor at a certain flow rate through the control device, and at the same time, the whole process is required to maintain a constant temperature. A flow meter measures the flow, and the schematic diagram of the device is shown in figure 2 As shown, throughout the process, the inlet flow rate and stream ratio can be change...

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Abstract

The invention discloses a styrene bulk polymerization anti-interference distribution shape control method based on an interference observer. The method comprises the steps of obtaining a parameterized model of a polymer according to an element reaction in a styrene bulk polymerization reaction; introducing a B spline function to approximate a particle size distribution function output by the system, calculating a weight vector at a corresponding moment, and establishing a state space model between the weight vector and control input by adopting a subspace identification method based on an input and output data pair; respectively designing a PI type controller and an interference observer according to the state space model and considering the existence of interference to realize estimation of unknown interference and effective control of an output distribution function; and solving the corresponding controller gain and the observer gain by combining the Lyapunov stability analysis method so as to complete the anti-interference control of the styrene bulk polymerization process. According to the invention, a reliable anti-interference performance can be provided, and the stability of the styrene bulk polymerization process is improved.

Description

technical field [0001] The invention relates to an anti-jamming distribution method, in particular to a styrene bulk polymerization anti-jamming distribution shape control method, which belongs to the technical field of anti-jamming control. Background technique [0002] In the past few decades, the control of stochastic systems has been a very active research direction in control theory and applications, and its in-depth research and application are of great significance. With the continuous development of science and technology and the continuous deepening of theoretical innovation, stochastic systems have widely penetrated into aerospace, electronics, communication, astronomy, medicine, biochemistry, finance and other fields. Early research on stochastic system control focused on the statistical properties of the system variables themselves. Typical examples include minimum variance control, linear Gaussian quadratic forms, and systems with Markov jump parameters. Consid...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 裔扬顾翔张晓莉
Owner YANGZHOU UNIV
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