A Bidirectional Converter for Integrating DVR-UCap to Improve Voltage Profile Using Fuzzy Logic Controller

2019 ◽  
pp. 647-656
Author(s):  
T. Y. Saravanan ◽  
Ponnambalam Pathipooranam
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Voltage Profile ◽  
Bidirectional Converter

Performance improvement of a STATCOM using fuzzy controller for isolated generator

2018 ◽  
Vol 15 (2) ◽  
pp. 273-282 ◽  
Author(s):  
Swagat Pati ◽  
Kanungo Barada Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Performance Comparison ◽  
Grid System ◽  
Voltage Profile ◽  
Content Type ◽  
Single Generator ◽  
Micro Grid

Purpose This paper aims to demonstrate the efficacy of fuzzy logic controller (FLC) over proportional integral (PI) and sliding mode controller (SMC) for maintaining flat voltage profile at the load bus of a single-generator-based micro-grid system using STATCOM. Design/methodology/approach A STATCOM is used to improve the voltage profile of the load bus. The performance of the STATCOM is evaluated by using three different controllers: PI controllers, FLCs and SMCs. The performance comparison of the controllers is done with different dc bus voltages, different load bus voltage references, various loads such as R-L loads and dynamic loads. Findings A comparative analysis is done between the performances of the three different controllers. The comparative study culminates that FLC is found to be superior than the other proposed controllers. SMC is a close competitor of fuzzy controller. Originality/value Design of fuzzy logic and SMCs for a STATCOM implemented in a single-generator-based micro-grid system is applied.

Fuzzy logic controller based UPFC for voltage profile improvement in a smart grid

2020 ◽  
Author(s):  
S. D. Sundarsingh Jebaseelan ◽  
M. Kavitha ◽  
D. N. S. Ravikumar ◽  
Anderson Arul Gnana Dhas ◽  
Nivin Joy
Keyword(s):  
Fuzzy Logic ◽  
Smart Grid ◽  
Fuzzy Logic Controller ◽  
Voltage Profile ◽  
Voltage Profile Improvement

scholarly journals A Fuzzy Logic Based Controller for the Bidirectional Converter in an Electric Vehicle

2019 ◽  
Vol 9 (1) ◽  
pp. 58-62
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Oil Consumption ◽  
Charging Infrastructure ◽  
Energy Management Systems ◽  
Bidirectional Converter ◽  
Electrical Vehicle ◽  
Charging Mode ◽  
Conversion Stage ◽  
Near Future

Many technologies are focusing on the Electric Vehicles to grow in a big way to reduce the oil consumption and the carbon emmissions levels across all over the world in the near future. However there are many hindrance factors like the price of Li-ion batteries, charging infrastructure and charging methods are affecting the growth of EV’s. Understanding these issues, a two stage basic converter popularly known as Bidirectional DC-DC converter is proposed for Grid-2-Vehicle, Vehicle-2-Grid, Vehicle-2-Home applications and leads to the efficient Energy Management Systems. The Bidirectional Converter uses an independent control using Fuzzy logic controller at each mode of power conversion stage. By using this unique feature, the Electrical Vehicle battery able to work in charging mode and discharging mode efficiently. In addition, this converter uses less number of components, with good operating efficiencies and most economical. The entire system has been developed using MATLAB-Simulink software

Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

2019 ◽  
Vol 3 (1) ◽  
pp. 186-192
Author(s):  
Yudi Wibawa
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Dc Motor ◽  
Automation System ◽  
Paper Making ◽  
System A ◽  
Accurate Position ◽  
And Performance ◽  
Better Than ◽  
Logic System

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.

STABILISASI TEGANGAN KELUARAN BUCK CONVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 125
Author(s):  
Oktriza Melfazen
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Rise Time ◽  
Fuzzy Logic Controller ◽  
Buck Converter ◽  
Settling Time

Buck converter idealnya mempunyai keluaran yang stabil, pemanfaatandaya rendah, mudah untuk diatur, antarmuka yang mudah dengan pirantiyang lain, ketahanan yang lebih tinggi terhadap perubahan kondisi alam.Beberapa teknik dikembangkan untuk memenuhi parameter buckconverter. Solusi paling logis untuk digunakan pada sistem ini adalahmetode kontrol digital.Penelitian ini menelaah uji performansi terhadap stabilitas tegangankeluaran buck converter yang dikontrol dengan Logika Fuzzy metodeMamdani. Rangkaian sistem terdiri dari sumber tegangan DC variable,sensor tegangan dan Buck Converter dengan beban resistif sebagaimasukan, mikrokontroler ATMega 8535 sebagai subsistem kontroldengan metode logika fuzzy dan LCD sebagai penampil keluaran.Dengan fungsi keanggotaan error, delta error dan keanggotaan keluaranmasing-masing sebanyak 5 bagian serta metode defuzzifikasi center ofgrafity (COG), didapat hasil rerata error 0,29% pada variable masukan18V–20V dan setpoint keluaran 15V, rise time (tr) = 0,14s ; settling time(ts) = 3,4s ; maximum over shoot (%OS) = 2,6 dan error steady state(ess) = 0,3.

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