Design of Adaptive Predictive Controller for Superheated Steam Temperature Control

doi:10.16182/j.issn1004731x.joss.17-0152

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.

Key words: thermal power plants, superheated steam temperature, online identification, adaptive predictive control, controller design and simulation

CLC Number:

TP273

Qian Hong, Feng Yuqing. Design of Adaptive Predictive Controller for Superheated Steam Temperature Control[J]. Journal of System Simulation, 2019, 31(5): 1002-1009.

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