Modeling and Simulation of Ultra Supercritical Unit Using A Composite Weighted Human Learning Network

Authors

Chuanliang Cheng, 1.School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China;Follow
Chen Peng, 1.School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China;Follow
Deliang Zeng, 2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;
Tengfei Zhang, 3.College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;

Abstract

Abstract: Intermediate point temperature is an important parameter in ultra supercritical (USC) unit. However, due to strong nonlinearity, it is difficult to determine the form and coefficients of the corresponding model by using traditional methods. In order to get a better control effect, a novel composite weighted human learning optimization network (CWHLON) is proposed to tackle the above-mentioned problems. Though the real-time dynamic linear model, the characteristics of the object are accurately simulated. In the simulation experiment, CWHLON is compared with the traditional recursive least squares and other three meta heuristic methods. The data show that the proposed method improves the model accuracy by 77.93% on average and 78.65% on maximum, effectively improving the identification accuracy.

Recommended Citation

Cheng, Chuanliang; Peng, Chen; Zeng, Deliang; and Zhang, Tengfei (2022) "Modeling and Simulation of Ultra Supercritical Unit Using A Composite Weighted Human Learning Network," Journal of System Simulation: Vol. 34: Iss. 7, Article 5.
DOI: 10.16182/j.issn1004731x.joss.22-0259
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/5

First Page

1430

Revised Date

2022-04-27

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.22-0259

Last Page

1438

CLC

TP391.9

Recommended Citation

Chuanliang Cheng, Chen Peng, Deliang Zeng, Tengfei Zhang. Modeling and Simulation of Ultra Supercritical Unit Using A Composite Weighted Human Learning Network[J]. Journal of System Simulation, 2022, 34(7): 1430-1438.

Corresponding Author

Chen Peng,c.peng@shu.edu.cn

DOI

10.16182/j.issn1004731x.joss.22-0259