期刊论文详细信息
Entropy
Nonlinear Predictive Control of a Hydropower System Model
Runfan Zhang1  Diyi Chen1  Xiaoyi Ma2 
[1] Institute of Water Resources and Hydropower Research, Northwest A&F University, Yangling 712100, China;
关键词: nonlinear predictive control;    hydropower system;    Lyapunov function;    control method;    stability;   
DOI  :  10.3390/e17096129
来源: mdpi
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【 摘 要 】

A six-dimensional nonlinear hydropower system controlled by a nonlinear predictive control method is presented in this paper. In terms of the nonlinear predictive control method; the performance index with terminal penalty function is selected. A simple method to find an appropriate terminal penalty function is introduced and its effectiveness is proved. The input-to-state-stability of the controlled system is proved by using the Lyapunov function. Subsequently a six-dimensional model of the hydropower system is presented in the paper. Different with other hydropower system models; the above model includes the hydro-turbine system; the penstock system; the generator system; and the hydraulic servo system accurately describing the operational process of a hydropower plant. Furthermore, the numerical experiments show that the six-dimensional nonlinear hydropower system controlled by the method is stable. In addition, the numerical experiment also illustrates that the nonlinear predictive control method enjoys great advantages over a traditional control method in nonlinear systems. Finally, a strategy to combine the nonlinear predictive control method with other methods is proposed to further facilitate the application of the nonlinear predictive control method into practice.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.

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