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International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
97 A Nonlinear Model Predictive Control Strategy for Superheater Process in Thermal Power Plant
By
Genhui Yan
State Key Laboratory of Industrial Control Technology, Zhejiang University , Hangzhou , China
,
Genhui Yan
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Jun Zhao
State Key Laboratory of Industrial Control Technology, Zhejiang University , Hangzhou , China
,
Jun Zhao
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Zuhua Xu
State Key Laboratory of Industrial Control Technology, Zhejiang University , Hangzhou , China
,
Zuhua Xu
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Zhijiang Shao
State Key Laboratory of Industrial Control Technology, Zhejiang University , Hangzhou , China
Zhijiang Shao
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Page Count:
4
-
Published:2011
Citation
Yan, G, Zhao, J, Xu, Z, & Shao, Z. "A Nonlinear Model Predictive Control Strategy for Superheater Process in Thermal Power Plant." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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In thermal power plant, the superheated steam temperature affect both the security and thermal efficiency. It possesses the non-linear features under load changes. A nonlinear model predictive control strategy is proposed. A linear parameter varying (LPV) model is used to represent this nonlinear model, which is identified using linear models of selected working-points and other data. In each sample time, the model is linearized through the scheduling variable, and the linear predictive controller is designed. This method keeps better control performance than traditional PID and linear MPC. The effectiveness is verified in simulation platform of real 200MW power plant.
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