Optimal Design of Power Plant Boiler Based on Predictive Control

This paper uses a predictive control algorithm based on ant colony optimization (ACO) and support vector machines (SVM) to simulate the actual historical data of power plant boilers based on the problem that the traditional PID control of boiler combustion process is difficult to achieve the desired...

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Bibliographic Details
Published in:Journal of physics. Conference series 2023-05, Vol.2503 (1), p.12049
Main Authors: Dou, Zhongzhou, Si, Ruicai, Cao, Xing, Zhao, Jinfeng, Yao, Yingying, Wang, Hang, Cao, Hanwen, Su, Chengzhi, Yang, Chenyu
Format: Article
Language:English
Subjects:
Algorithms
Ant colony optimization
Boilers
Combustion
Control theory
Physics
Power plants
Predictive control
Proportional integral derivative
Support vector machines
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Summary:This paper uses a predictive control algorithm based on ant colony optimization (ACO) and support vector machines (SVM) to simulate the actual historical data of power plant boilers based on the problem that the traditional PID control of boiler combustion process is difficult to achieve the desired control effect, and concludes that the algorithm can effectively overcome the nonlinear, strong coupling, multi-object and large delay characteristics of power plant combustion process. However, its applicability needs to be improved.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2503/1/012049