Fuzzy logic control of DSTATCOM for improving power quality and dynamic performance

2015 ◽  
Author(s):  
Juan Shi ◽  
Amin Noshadi ◽  
Akhtar Kalam ◽  
Peng Shi
Keyword(s):  
Fuzzy Logic ◽  
Power Quality ◽  
Fuzzy Logic Control ◽  
Dynamic Performance ◽  
Logic Control

scholarly journals Power System Stabilization By Fuzzy Set Theory Based Control Of SMES

1970 ◽  
Vol 6 (2) ◽  
pp. 33-41 ◽  
Author(s):  
Md Rafiqul Islam Sheikh ◽  
Rion Takahashi ◽  
Junji Tamura
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Power System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Magnetic Energy ◽  
Dynamic Performance ◽  
Superior Performance ◽  
Logic Control

At present fuzzy logic control is receiving increasing emphasis in process control applications. The paper describes the application of fuzzy logic control in a power system that uses a 12- pulse bridge converter associated with Superconductive Magnetic Energy Storage (SMES) unit. The fuzzy control is used in both the frequency and voltage control loops, replacing the conventional control method. The control algorithms have been developed in detail and simulation results are presented. These results clearly indicate the superior performance of fuzzy control during the dynamic period of energy transfer between the power system and SMES unit. Keywords: Fuzzy logic controller; power system dynamic performance; SMES unit. DOI: http://dx.doi.org/10.3329/diujst.v6i2.9343 DIUJST 2011; 6(2): 33-41

A Fuzzy Logic Scheme for Lateral Control of an Unmanned Vehicle

2014 ◽  
Vol 1046 ◽  
pp. 250-254
Author(s):  
Yu Fang Zhang ◽  
Xiao Nian Wang ◽  
Ping Jiang ◽  
Jin Zhu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Small Error ◽  
Steering Wheel ◽  
Tracking Accuracy ◽  
Lateral Control ◽  
Unmanned Vehicle ◽  
Logic Control

The purpose of unmanned vehicle lateral control is to track a desired trajectory in a small error, in order to achieve a stable tracking under different pavements and wind resistance conditions. This paper presents a vehicle lateral control scheme based on fuzzy logic control. A simplified vehicle lateral dynamics model is first obtained by linearizing the original 6-DOF vehicle model, and then the lateral control is decomposed into two modules: steering wheel angle control and steering wheel speed control. Fuzzy logic control for the two modules is developed and simulated by using CarSim and Simulink. The results demonstrate that the fuzzy controller can achieve a high tracking accuracy with a good dynamic performance.

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