Hardware Implementation of Fuzzy Logic Controller -Designability, Stability and Robustness-

Author(s):  
Takeshi Yamakawa
Author(s):  
Abdelkrim Hedi ◽  
Ben Othman Slim ◽  
Ben Saoud Slim

Author(s):  
Yuvaraja Teekaraman ◽  
Gopinath Mani

Islanding operation in essence connotes isolating part of a power system not unlike distributed generation. This thesis puts forward fuzzy logic controller for inverter fed micro-grid in islanding operations which is assessed using hardware implementation. It’s assisted by power electronics which imparts the control and flexibility essential for the micro grid concept. A correctly designed controller guarantees that the micro grid can meet its utility’s demands. The efficacy and robustness is deliberated in the design of fuzzy system. The testing is performed by employing hardware components namelyATMEGA-328microcontroller, TLP250 opto-coupler and a MOSFET circuit. The test results demonstrate very good consistency and show noteworthy implications of the control of micro grid using inverters and fuzzy controllers.


2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Aymen Jemaa ◽  
Ons Zarrad ◽  
Mohamed Ali Hajjaji ◽  
Mohamed Nejib Mansouri

In this paper, two main contributions are presented to manage the power flow between a wind turbine and a solar power system. The first one is to use the fuzzy logic controller as an objective to find the maximum power point tracking, applied to a hybrid wind-solar system, at fixed atmospheric conditions. The second one is to respond to real-time control system constraints and to improve the generating system performance. For this, a hardware implementation of the proposed algorithm is performed using the Xilinx System Generator. The experimental simulation results show that the suggested system presents high accuracy and acceptable execution time performances. The proposed model and its control strategy offer a proper tool for optimizing the hybrid power system performance which we can use in smart house applications.


2019 ◽  
Vol 87 ◽  
pp. 01004 ◽  
Author(s):  
Anil Kumar Rajagiri ◽  
Sandhya Rani MN ◽  
Syed Sarfaraz Nawaz ◽  
Suresh Kumar T

This thesis demonstrates the importance of Fuzzy Logic Controller. The operation of a DC motor is performed using Fuzzy Logic Controller (FLC) in MATLAB environment. Fuzzy Logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. A Fuzzy Logic Controller (FLC) is based on a set of control rules (fuzzy rules) among linguistic variables. The proposed fuzzy controller results in a better response compared to the normal response of DC motor. This thesis consists of two parts; software and hardware implementation. The software part aims to design and develop a Fuzzy Logic Controller in MATLAB Simulink. The hardware Part Consist of DC motor Driver and PCI 6221. The DC drive is used to convert AC voltage into variable DC voltage PCI 6221 is used as the hardware interface between Hardware and Software.


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