Voltage sag monitors optimal allocation using on fuzzy control model

2014 ◽  
Author(s):  
Yadi Tang ◽  
Yonghai Xu ◽  
Wangsong Hong
Keyword(s):  
Fuzzy Control ◽  
Optimal Allocation ◽  
Control Model ◽  
Voltage Sag

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.

Study on Environmental Management Based on Fuzzy Control and Markov Chain

2010 ◽  
Vol 113-116 ◽  
pp. 994-997
Author(s):  
Jin Ying Li ◽  
Ting Wang ◽  
Jin Chao Li
Keyword(s):  
Environmental Management ◽  
Markov Chain ◽  
Fuzzy Control ◽  
Dynamic Environment ◽  
Environmental Policies ◽  
Control Model ◽  
Emission Behavior

To improve the implementation efficiency of environmental policies, the paper put forward a dynamic supervision method based on Markov chain and fuzzy control. With Markov chain the enterprises’ Emission behavior can be forecasted. And with fuzzy control model, analyze the current emissions behavior and the recent changes in the emissions records. Combined the two results, Supervisors decide their dynamic environment supervision track. The sample analyses show that the method is practical.

Size Prediction Control Modeling in Cylindrical Grinding

2010 ◽  
Vol 154-155 ◽  
pp. 977-980
Author(s):  
Ning Ding ◽  
Shi Qiang Ma ◽  
Yu Mei Song ◽  
Long Shan Wang
Keyword(s):  
Fuzzy Control ◽  
Model Simulation ◽  
Size Control ◽  
Control Model ◽  
Elman Neural Network ◽  
Cylindrical Grinding ◽  
Control Subsystem ◽  
Control Precision ◽  
Prediction And Control ◽  
Prediction Control

A dynamic size control model during cylindrical grinding is built. The model consists of Elman neural network, fuzzy control subsystem and deformation optimal adaptive control subsystem. To improve the size prediction accuracy, the first and the second derivative of the actual amount removed from the workpiece are added into the Elman network input; To self-adapt and adjust the quantification factor and scale factor in the fuzzy control, the flexible factor is introduced to the fuzzy control model. Simulation and experiment verify that the developed prediction control model is feasible and has high prediction and control precision.

Motor Torque Stability and Controlling Research in Variable Load Condition

2014 ◽  
Vol 940 ◽  
pp. 380-385 ◽  
Author(s):  
Yan Zhi Cheng ◽  
You Liang Ma ◽  
Xi Chen
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Load Condition ◽  
Control Model ◽  
Control Law ◽  
Variable Load ◽  
Real Condition ◽  
Handling Characteristics ◽  
Motor Load ◽  
Special Control

The torque stability and shutdown control of electric learner-driven vehicle (ELV) in the condition of motor load suddenly changing make the ELV has the same clutch handling characteristics with the traditional vehicle, and this makes the ELV popularization possible. A special control method is put forward in this article to achieve the consistency with the mechanical properties of engine. A multiparameter control model to identify the real condition of clutch handling by driver is builded with fuzzy control law. The torque stability and shutdown control of the motor with the load raising rapidly condition are approached by the adjusting of armature voltage with PWM control law. Keywords: Electric Learner-driven Vehicle;Torque Stability;Fuzzy Control

Sign in / Sign up

Export Citation Format

Share Document