Nonlinear prediction control system and method for energy-saving air separation process

A nonlinear prediction and control system technology, applied in general control systems, control/regulation systems, adaptive control, etc., can solve problems such as slow online solution, poor tracking control effect, and low work efficiency

Inactive Publication Date: 2010-06-30
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of poor tracking control effect, slow online solution and low work efficiency of the existing control system of the air separation rectification process, the present invention provides a tracking control effect that can effectively achieve high accuracy and has a fast online Nonlinear predictive control system and method for air separation and energy-saving process of solving speed and greatly improving work efficiency

Method used

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  • Nonlinear prediction control system and method for energy-saving air separation process
  • Nonlinear prediction control system and method for energy-saving air separation process
  • Nonlinear prediction control system and method for energy-saving air separation process

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Effect test

Embodiment 1

[0074] refer to figure 1 and figure 2 A non-linear predictive control system for an air separation energy-saving process includes an on-site intelligent instrument 2 and a DCS system directly connected to an air separation tower 1, and the DCS system includes a storage device 4, a control station 5 and a host computer 6, wherein the intelligent instrument 2. It is connected with the storage device 4, the control station 5 and the host computer 6. The host computer 6 includes a nonlinear predictive controller for realizing the function of the nonlinear predictive controller, rolling optimization to solve the control law, and outputting the value of the control variable. The non-linear predictive controller The linear predictive controller includes a component inference module 9 , a model parameter adaptive correction module 10 , and a control law rolling optimization solution module 11 .

[0075]Described component deduction module 9 is characterized in that host computer 6 o...

Embodiment 2

[0102] refer to figure 1 and figure 2 , the nonlinear predictive control method of the air separation energy-saving process, characterized in that the control method comprises the following steps:

[0103] 1) Determine the sampling period T, and the T value, the relative volatility of nitrogen and oxygen relative to argon α N 、α O , the Antony constant a N , b N 、c N 、a O , b O 、c O stored in the historical database;

[0104] 2) According to the control requirements and object characteristics, set the liquid-phase light component concentration setting value X of the nitrogen and oxygen at the top and bottom of the upper tower 1，N * , X n，O * , Control law objective function weighting coefficient K 1 , K 2 and the predicted time-domain length t n (t 0 =0), and save the set parameters in the historical database;

[0105] 3) Obtain the data records of vapor phase flow at the top of the tower, liquid phase flow at the bottom of the tower, the thermal condition of...

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Abstract

The invention provides a nonlinear prediction control system for an energy-saving air separation process, which comprises a field intelligent instrument and a DCS system which are directly connected with an air separation tower. The DCS system comprises a memory device, a control station and an upper computer, wherein the intelligent instrument is connected with the memory device, the control station and the upper computer; the upper computer comprises a nonlinear prediction controller which has a function of optimizing and solving a control law output operation variable value; and the nonlinear prediction controller comprises a component inferring module, a model parameter self-adaptation correction module and a control law rolling optimizing solution module. The invention also provides a nonlinear prediction control method for the energy-saving air separation process. The invention provides the nonlinear prediction control system and the nonlinear prediction control method for the energy-saving air separation process, which can effectively achieve highly accurate tracking control effect, have a fast online solution speed and greatly improve the work efficiency.

Description

technical field [0001] The invention relates to the control design field of the air separation energy-saving process, in particular, relates to the nonlinear predictive control design and method of the air separation energy-saving process. Background technique [0002] Air separation is an important industry in the national economy that separates air to obtain high-purity industrial gases such as oxygen, nitrogen, and argon. Its products are widely used in petroleum, chemical, metallurgy, electronics, energy, aerospace, food and beverage, medical care, etc. kind of industrial field. The huge energy consumption has always been the bottleneck of the air separation industry. [0003] Countries all over the world have invested a lot of manpower and material resources in the energy-saving research of the air separation process, and have done a lot of research on the process modeling and advanced control of the air separation process. Due to the complex dynamic characteristics o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCF25J3/04848
Inventor 刘兴高周叶翔
Owner ZHEJIANG UNIV
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