Optimal Design of Power Plant Boiler Based on Predictive Control
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Published:2023-05-01
Issue:1
Volume:2503
Page:012049
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ISSN:1742-6588
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Container-title:Journal of Physics: Conference Series
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language:
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Short-container-title:J. Phys.: Conf. Ser.
Author:
Dou Zhongzhou,Si Ruicai,Cao Xing,Zhao Jinfeng,Yao Yingying,Wang Hang,Cao Hanwen,Su Chengzhi,Yang Chenyu
Abstract
Abstract
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.
Subject
Computer Science Applications,History,Education
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