MPPT Control Strategy of Variable Speed Hydropower System Based on Improved Fuzzy Control

2021 ◽  
Author(s):  
Qiang Zhou ◽  
Derong Luo ◽  
Litao Dai ◽  
Bi Wu ◽  
Hongjun Luo
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Variable Speed ◽  
Hydropower System

Research on Switched Reluctance Generator for Off-Grid Variable-Speed Wind Energy Applications

2010 ◽  
Vol 44-47 ◽  
pp. 1672-1676
Author(s):  
Jing Feng Mao ◽  
Guo Qing Wu ◽  
Ai Hua Wu ◽  
Xu Dong Zhang ◽  
Yang Cao ◽  
...  
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Control Strategy ◽  
Test System ◽  
Variable Speed ◽  
Detailed Model ◽  
Switched Reluctance ◽  
Energy Applications ◽  
Variable Speed Wind Turbine ◽  
Model Control

This paper presents a theoretical analysis and experimental evaluation of the switched reluctance generator (SRG) for off-grid variable-speed wind energy applications. The detailed model, control parameters and operational characteristics of the SRG as well as variable-speed wind turbine are discussed. In order to drive the wind energy conversion system (WECS) to the point of maximum aerodynamic efficiency, a SRG power output feedback control strategy which optimized angle position-current chopping control cooperating PI regulator is proposed. The control strategy is also demonstrated by means of Matlab/Simulink. Moreover, an experimental test system is set up, which a cage induction machine is used to emulate the variable-speed wind turbine. The experimental results validate the proposed control strategy and confirm the SRG performance.

scholarly journals Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Songtao Zhang ◽  
Yanting Hou ◽  
Siqi Zhang ◽  
Min Zhang
Keyword(s):  
Supply Chain ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Control Model ◽  
Lead Times ◽  
Supply Chain System ◽  
Chain System ◽  
Model And Simulation ◽  
Definition Of ◽  
System Variables

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed. Additionally, we design a fuzzy robust H∞ control strategy taking the definition of maximal overlapped-rules group into consideration to restrain the impacts such as those caused by lead times, switching actions among submodels, and customers’ stochastic demands. This control strategy can not only guarantee that the nonlinear supply chain system is robustly asymptotically stable but also realize soft switching among subsystems of the nonlinear supply chain to make the less fluctuation of the system variables by introducing the membership function of fuzzy system. The comparisons between the proposed fuzzy robust H∞ control strategy and the robust H∞ control strategy are finally illustrated through numerical simulations on a two-stage nonlinear supply chain with lead times.

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