Journal of System Simulation
Abstract
Abstract: An adaptive model predictive controller for overheating steam temperature control of thermal power plants is designed, which is based on the control object with large delay, large inertia, nonlinearity and strong time-varying properties. Through the on-line identification and control of different models, compared with predictive controllers in a general model, in terms of adjusting the superheat steam temperature, the adjusting time can be shortened drastically, the overshoot can be reduced or even eliminated, and the dynamic performance is improved greatly when applying in adaptive model predictive controller. The results show that the adaptive model predictive controller, because of its simple implementation, can be used in power plants, and also can be applied to solve similar problems, which has a broad application prospects.
Recommended Citation
Hong, Qian and Feng, Yuqing
(2019)
"Design of Adaptive Predictive Controller for Superheated Steam Temperature Control,"
Journal of System Simulation: Vol. 31:
Iss.
5, Article 22.
DOI: 10.16182/j.issn1004731x.joss.17-0152
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss5/22
First Page
1002
Revised Date
2017-06-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0152
Last Page
1009
CLC
TP273
Recommended Citation
Qian Hong, Feng Yuqing. Design of Adaptive Predictive Controller for Superheated Steam Temperature Control[J]. Journal of System Simulation, 2019, 31(5): 1002-1009.
DOI
10.16182/j.issn1004731x.joss.17-0152
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons