A state estimator-based nonlinear predictive control for a fractional-order Francis hydraulic turbine governing system

被引:4
|
作者
Tian, Yuqiang [1 ,2 ]
Wang, Bin [1 ,2 ]
Chen, Peng [1 ]
Yang, Ying [1 ]
机构
[1] Northwest Agr & Forestry Univ, Coll Water Resources & Architectural Engn, Yangling, Shaanxi, Peoples R China
[2] Northwest Agr & Forestry Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling, Shaanxi, Peoples R China
关键词
Fractional-order stability; hydraulic turbine governing system; nonlinear predictive control; state estimator; Takagi-Sugeno fuzzy; REGULATING SYSTEM; HYDROPOWER STATION; STABILITY ANALYSIS; FREQUENCY CONTROL; PID CONTROLLER; PUMP-TURBINE; DESIGN; MODEL; IDENTIFICATION; UNCERTAINTIES;
D O I
10.1177/1077546319891633
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A nonlinear predictive control scheme with a state estimator for a fractional-order hydraulic turbine governing system is studied in this article. First, a more practical fractional-order model of the hydraulic turbine governing system is introduced. Second, according to the Grunwald-Letnikov definition of fractional calculus, the fractional-order hydraulic turbine governing system is transformed into a nonlinear discrete model. Third, based on the Takagi-Sugeno fuzzy theory, a fuzzy prediction model of the fractional-order hydraulic turbine governing system is presented. Furthermore, a state estimator-based nonlinear predictive control scheme is proposed for the fractional-order hydraulic turbine governing system, and the controller gain can be obtained by solving a linear matrix inequality. Finally, experimental results show that the proposed state estimator-based nonlinear predictive control could effectively restrain the oscillation of the fractional-order hydraulic turbine governing system under various working conditions.
引用
收藏
页码:1068 / 1080
页数:13
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