Complex chemical process modeling method of hybrid DNA (Deoxyribose Nucleic Acid) genetic algorithm

A chemical process and genetic algorithm technology, applied in the field of complex chemical process modeling, can solve the problems of low search efficiency, easy precociousness, poor local search ability, etc., to improve diversity, good application and development prospects, and enhance global search ability. and the effect of local optimization

Inactive Publication Date: 2013-11-13
ZHEJIANG UNIV
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  • Description
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AI Technical Summary

Problems solved by technology

The conventional Genetic Algorithm (Simple Genetic algorithm, SGA) replaces the deterministic mechanism conversion mechanism with a random probability conversion mechanism. Although it has advantages over other traditional methods, SGA still has low search efficiency and local search capabilities. Poor and easy to mature and other disadvantages

Method used

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  • Complex chemical process modeling method of hybrid DNA (Deoxyribose Nucleic Acid) genetic algorithm
  • Complex chemical process modeling method of hybrid DNA (Deoxyribose Nucleic Acid) genetic algorithm
  • Complex chemical process modeling method of hybrid DNA (Deoxyribose Nucleic Acid) genetic algorithm

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Embodiment

[0061] The method of the present invention is used in the five lumped combination reactor model parameter estimations of distillate oil catalytic cracking process, further detailed description is as follows:

[0062] Residual oil catalytic cracking (RFCC) is a chemical process in which heavy oil is cracked in a riser reactor under a regenerated catalyst and a certain temperature and pressure. In its lumped kinetic reaction model, each lump can be considered as a virtual single component, and then the reaction network of these virtual lumped components can be developed, so that simplified lumped kinetics can be established A dynamic model of the network. According to the characteristics of the catalytic cracking reaction of distillate oil, the reaction system is divided into five types: raw material oil (Gas Oil), light cycle oil (LCO), gasoline (Gasoline), gas (Gas), and coke (Coke) by using the lumped method. virtual lumped components, reflecting networks such as image 3 ....

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Abstract

The invention discloses a complex chemical process modeling method of a hybrid DNA (Deoxyribose Nucleic Acid) genetic algorithm. The method comprises the following steps of: (1) performing field operation or experiments to obtain the input and output data of chemical process sampling, wherein the sum of error absolute values of the estimated output and actual output of a chemical process model is used as a target function of the hybrid DNA genetic algorithm during optimization search; (2) setting a control parameter of the algorithm; and (3) running the hybrid DNA genetic algorithm to estimate an unknown parameter in the chemical process model, obtaining an estimated value of the unknown parameter in the chemical process model by minimizing the target function and substituting the estimated value of the unknown parameter into the chemical process model to form a mathematical model of the chemical process. The method has the advantages of not only effectively increasing the population diversity and reserving the excellent genes of the original population at the same time but also effectively strengthening the global search capability and local search capability of an optimization algorithm, so that the optimization precision is high.

Description

technical field [0001] The invention relates to a complex chemical process modeling method based on a hybrid DNA genetic algorithm Background technique [0002] The modeling and control of chemical process has always been one of the key research areas of enterprises and scientific research institutions, and it is also an indispensable part of modern chemical industrial production. In the modern chemical production process, the mathematical model of the control system is the basis of analysis, design, control and optimization. Therefore, the precise modeling of chemical process is the core of chemical control, which is of great significance to the theoretical research and practical application of chemical process. However, with the increasing complexity of chemical process systems and their severe nonlinear characteristics, chemical process modeling has always been a research difficulty and hot spot in the chemical industry. [0003] There are two main methods for establishi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 王宁戴侃
Owner ZHEJIANG UNIV
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