Multi-Objective Intelligent Optimization of Superheated Steam Temperature Control Based on Cascaded Disturbance Observer

Multi-Objective Intelligent Optimization of Superheated Steam Temperature Control Based on Cascaded Disturbance Observer

Superheated steam temperature (SST) is one of the most critical parameters for the process safety, overall efficiency and pollution reduction of coal-fired power plants. However, SST control is challenging due to various disturbances and model uncertainties, especially in the face of the growing pen...

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Bibliographic Details
Main Authors: Yong-sheng Hao, Zhuo Chen, Li Sun, Junyu Liang, Hongxia Zhu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sustainability
Subjects:
superheated steam temperature
cascaded DOB-PI control
pareto optimization
disturbance rejection
coal-fired power plant
Online Access:https://www.mdpi.com/2071-1050/12/19/8235

Internet

https://www.mdpi.com/2071-1050/12/19/8235

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