Design of a Nonlinear Predictive Controller for a Fractional-Order Hydraulic Turbine Governing System with Mechanical Time Delay

被引：6

作者：

Tian, Yuqiang ^{[1
,2
]}

Wang, Bin ^{[1
,2
]}

Chen, Diyi ^{[1
,2
]}

Wang, Shaokun ^{[1
,2
]}

Chen, Peng ^{[1
,2
]}

Yang, Ying ^{[1
,2
]}

机构：

[1] Northwest A&F Univ, Dept Elect Engn, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China

[2] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling 712100, Shaanxi, Peoples R China

来源：

ENERGIES | 2019年 / 12卷 / 24期

基金：

中国国家自然科学基金;

关键词：

hydraulic turbine governing system; delayed Takagi-Sugeno fuzzy model; fractional calculus; nonlinear predictive control; time delay; mechanical inertia; PID CONTROLLER; REGULATING SYSTEM; PUMP-TURBINE; HYDROPOWER; POWER; PERFORMANCE; MODEL;

D O I：

10.3390/en12244727

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A nonlinear predictive control method for a fractional-order hydraulic turbine governing system (HTGS) with a time delay is studied in this paper. First, a fractional-order model of a time-delay hydraulic turbine governing system is presented. Second, the fractional-order hydraulic servo subsystem is transformed into a standard controlled autoregressive moving average (CARMA) model according to the Grunwald-Letnikov (G-L) definition of fractional calculus. Third, based on the delayed Takagi-Sugeno fuzzy model, the fuzzy prediction model of the integer-order part of the HTGS is given. Then, by introducing a fourth-order Runge-Kutta algorithm, the fuzzy prediction model can be easily transformed into the CARMA model. Furthermore, a nonlinear predictive controller is proposed to stabilize the time-delay HTGS. Finally, the experiment results are consistent with the theoretical analysis.

引用

页数：16

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