Optimization of Sun-Tracker Positioning Using Takagi-Sugeno Fuzzy-Logic Method

2015 ◽  
Vol 785 ◽  
pp. 231-235
Author(s):  
Rini Nur Hasanah ◽  
Suci Imani Putri ◽  
Hadi Suyono
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Tracking System ◽  
Dc Motor ◽  
Solar Panels ◽  
Tracking Process ◽  
Logic Computation ◽  
Fuzzy Logic Method ◽  
Takagi Sugeno ◽  
Logic Method

The continuously increasing use of photovoltaic cells requires various efforts to maximize the harnessing of solar energy. This paper presents the research results of fuzzy-logic method implementation to maximize the absorption of solar energy. It is based on the optimization of solar panels position according to the sun direction. The Takagi-Sugeno method is chosen in the fuzzification stage. The control algorithm is implemented on a microcontroller ATMega-128 using BASCOM-AVR program. DC motor is used to actuate the solar panels. The results show an increase of 0.48V in the output of solar cells sensor using the fuzzy logic computation-based tracking system. The resulted tracking system proves to consume less power because the tracking process is halted while moving the DC motor continuously.

scholarly journals PENGENDALIAN KECEPATAN MOTOR DC DENGAN METODA FUZZY LOGIC BERBASIS MIKROKONTROLLER

2018 ◽  
Vol 1 (2) ◽  
pp. 1-12
Author(s):  
Nasrul Harun
Keyword(s):  
Fuzzy Logic ◽  
Pulse Width ◽  
High Speed ◽  
Pulse Width Modulation ◽  
Control Process ◽  
Dc Motor ◽  
Small Scale ◽  
Motor Speed ◽  
Fuzzy Logic Method ◽  
Logic Method

The Technology and information development involve production process in industries using microcontroller as a brain in control process. The number  of control process with microcontroller using Fuzzy Logic method to get the function as is needed. Motors DC are used in some  equipment as a driver, not only in small scale but also in huge scale. It used in low or high speed too. The way of controlled chosen depend on the function of DC motor movement. The another method is Pulse Width Modulation (PWM). This is an effective method to controlled DC motor. This method produces square pulses which have specific comparison between high pulse and low pulse. It is usual scale from 0% to 100%. In this research, both Fuzzy Logic method and Pulse Width Modulation (PWM) method base of microcontroller ATMega 8535, both are integrated to control lthe  DC motor speed.

Fuzzy Logic Method Based MPPT Controller for Solar Energy Generation

2021 ◽  
pp. 41-53
Author(s):  
Sunny Deol ◽  
Shrawan Ram Patel ◽  
Tanupriya Choudhury
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Energy Generation ◽  
Fuzzy Logic Method ◽  
Mppt Controller ◽  
Logic Method

scholarly journals Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Yuan Jiang ◽  
Qin Xu ◽  
Pengfei Zhang ◽  
Kang Nai ◽  
Liping Liu
Keyword(s):  
Fuzzy Logic ◽  
Real Data ◽  
Radar Data ◽  
Second Step ◽  
Doppler Velocity ◽  
Data Quality Control ◽  
Fuzzy Logic Method ◽  
Automated Technique ◽  
Migrating Birds ◽  
Logic Method

As an important part of Doppler velocity data quality control for radar data assimilation and other quantitative applications, an automated technique is developed to identify and remove contaminated velocities by birds, especially migrating birds. This technique builds upon the existing hydrometeor classification algorithm (HCA) for dual-polarimetric WSR-88D radars developed at the National Severe Storms Laboratory, and it performs two steps. In the first step, the fuzzy-logic method in the HCA is simplified and used to identify biological echoes (mainly from birds and insects). In the second step, another simple fuzzy logic method is developed to detect bird echoes among the biological echoes identified in the first step and thus remove bird-contaminated velocities. The membership functions used by the fuzzy logic method in the second step are extracted from normalized histograms of differential reflectivity and differential phase for birds and insects, respectively, while the normalized histograms are constructed by polarimetric data collected during the 2012 fall migrating season and sorted for bird and insects, respectively. The performance and effectiveness of the technique are demonstrated by real-data examples.

A Fuzzy Logic method: Predicting pipeline external corrosion rate

2018 ◽  
Vol 163 ◽  
pp. 55-62 ◽  
Author(s):  
M. Victoria Biezma ◽  
Diego Agudo ◽  
Gonzalo Barron
Keyword(s):  
Fuzzy Logic ◽  
Corrosion Rate ◽  
Fuzzy Logic Method ◽  
External Corrosion ◽  
Logic Method

scholarly journals Feature Extraction in Six Blocks to Detect and Recognize English Numbers

2021 ◽  
pp. 3790-3803
Author(s):  
Heba Kh. Abbas ◽  
Haidar J. Mohamad
Keyword(s):  
Fuzzy Logic ◽  
Feature Extraction ◽  
Computational Cost ◽  
Absolute Error ◽  
Suggested Method ◽  
Support Vector ◽  
Horizontal Line ◽  
Svm Algorithm ◽  
Fuzzy Logic Method ◽  
Logic Method

    The Fuzzy Logic method was implemented to detect and recognize English numbers in this paper. The extracted features within this method make the detection easy and accurate. These features depend on the crossing point of two vertical lines with one horizontal line to be used from the Fuzzy logic method, as shown by the Matlab code in this study. The font types are Times New Roman, Arial, Calabria, Arabic, and Andalus with different font sizes of 10, 16, 22, 28, 36, 42, 50 and 72. These numbers are isolated automatically with the designed algorithm, for which the code is also presented. The number’s image is tested with the Fuzzy algorithm depending on six-block properties only. Groups of regions (High, Medium, and Low) for each number showed unique behavior to recognize any number. Normalized Absolute Error (NAE) equation was used to evaluate the error percentage for the suggested algorithm. The lowest error was 0.001% compared with the real number. The data were checked by the support vector machine (SVM) algorithm to confirm the quality and the efficiency of the suggested method, where the matching was found to be 100% between the data of the suggested method and SVM. The six properties offer a new method to build a rule-based feature extraction technique in different applications and detect any text recognition with a low computational cost.

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