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2017 | OriginalPaper | Buchkapitel

Extended State Space Predictive Control of Gas Turbine System in Combined Cycle Power Plant

verfasst von : Guolian Hou, Tian Wang, Huan Du, Jianhua Zhang, Xiaobin Zheng

Erschienen in: Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Verlag: Springer Singapore

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Abstract

In this paper, an extended state space predictive control (ESSPC) strategy has been applied to gas turbine in combined cycle power plant. This proposed predictive control needn’t solve Diophantine equation online. In addition, in order to overcome the shortcoming of the conventional state space predictive control (SSPC) which only takes output errors into consideration, the objective function of ESSPC includes both output errors and the variation of the system states. In the rolling optimization part, the quadratic program (QP) method is applied to deal with the limitations on the inputs of system. Simulation results show that the proposed algorithm has better tracking ability and stability compared with conventional state space predictive controller in the same condition.

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Metadaten
Titel
Extended State Space Predictive Control of Gas Turbine System in Combined Cycle Power Plant
verfasst von
Guolian Hou
Tian Wang
Huan Du
Jianhua Zhang
Xiaobin Zheng
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6364-0_42