Modeling Photon Counting Experiments using Fuzzy Logic Controller

2002 ◽  
Vol 6 (2) ◽  
pp. 72-78
Author(s):  
László Nádai ◽  
Keyword(s):  
Fuzzy Logic ◽  
Point Processes ◽  
Fuzzy Logic Controller ◽  
Photon Counting ◽  
Threshold Value ◽  
Design Experiment ◽  
Probability Scale ◽  
Scale Invariant ◽  
Stochastic Errors ◽  
Different Levels

The concept of point fractal is applied to analyze the time-scale variability of point processes resulting from photon counting experiments. A new algorithm – using a fuzzy logic controller – for estimating the fractal dimension is proposed to eliminate systematic and stochastic errors. It is shown that scale invariance exists in time and clustering will decrease in accordance with the increase of the threshold that corresponds to the inverse sensitivity of the detector. Under the variation of the threshold, it is verified that the maximum values of the homogenous scale invariant interval are the same. In addition, taking the probability scale law on different levels of threshold value, a relation is established between the saturation scale (return period) and the threshold (design experiment variable).

Stabilizing a DC Motor Speed of Photovoltaic Pumping System Using a Super Capacitor and Fuzzy Logic Controller

2019 ◽  
Vol 20 (11) ◽  
pp. 669-676
Author(s):  
M. Ali Ben Fathallah ◽  
A. Ben Othman ◽  
M. Besbes
Keyword(s):  
Fuzzy Logic ◽  
Energy Production ◽  
Fuzzy Logic Controller ◽  
Electrical Energy ◽  
Dc Motor ◽  
Motor Speed ◽  
Super Capacitor ◽  
Pumping System ◽  
The One ◽  
Different Levels

In this paper, two issues are discussed in a PV pumping system. Firstly, an evaluation of super capacitor is studied to reassure the storage of electrical energy and solve the intermittence problem of photovoltaic energy production in dark periods. Secondly, a fuzzy logic controller (FLC) is proposed to stabilize, on the one hand, the DC motor speed around a preferred level by the control of duty cycle of DC buck boost converter. On the other hand, FLC serves to control the charge and discharge of super capacitor according to the sunlight levels and its state of charge. In this framework, a complete photovoltaic pumping system model is simulated in MATLAB Simulink to discuss the run results at different levels of sunshine.

FRACTALITY OF RAINFALL: IDENTIFICATION OF TEMPORAL SCALING LAW

Fractals ◽  
1999 ◽  
Vol 07 (02) ◽  
pp. 123-131 ◽  
Author(s):  
SHU-CHEN LIN ◽  
CHANG-LING LIU ◽  
TZONG-YEANG LEE
Keyword(s):  
Probability Density Function ◽  
Scale Invariance ◽  
Scaling Law ◽  
Analysis Method ◽  
Probability Scale ◽  
Scale Invariant ◽  
Temporal Scaling ◽  
Calculation Of Parameters ◽  
Hydrologic Variable ◽  
Different Levels

This paper introduces the concept of point-fractal to analyze the time-scale variability of rainfall data on the northern and southern regions of Taiwan. It is evident that scale invariance exists in time and clustering will decrease in accord with the increase of threshold. Under the variation of threshold, it can be verified that the maximum values of the homogenous scale-invariant interval are just the same. In addition, taking the probability-scale law on different levels of threshold, the relation can be established between the saturation scale (return period) and the threshold (design hydrologic variable). The methodology is different from the traditional one, i.e. frequency analysis method. When both methods are compared, it is found that the former does not require either the probability density function or the calculation of parameters. We conclude that this study provides a new alternative method in computation.

scholarly journals Data fusion based lane departure warning framework using fuzzy logic

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 896
Author(s):  
Em Poh Ping ◽  
J. Hossen ◽  
Wong Eng Kiong
Keyword(s):  
Fuzzy Logic ◽  
Data Fusion ◽  
Fuzzy Logic Controller ◽  
Real Life ◽  
Threshold Value ◽  
Lane Detection ◽  
Lane Departure Warning ◽  
Night Time ◽  
Lane Departure ◽  
Lateral Offset

Background: Lane detection is a difficult issue because of different lane circumstances. It plays an important part in advanced driver assistance systems, which give information about the centre of a host vehicle such as lane structure and lane position. Lane departure warning (LDW) is used to warn the driver about an unplanned lane exit from the original lane. The objective of this study was to develop a data-fusion LDW framework to improve the rate of detection of lane departure during daylight and at night. Methods: Vision-based LDW is a comprehensive framework based on vision-based lane detection with additional lateral offset ratio computations based on the detected X12 and X22 coordinates. The computed lateral offset ratio is used to detect lane departure based on predefined LDW identification criteria for vision-based LDW. Data fusion-based LDW was developed using a multi-input-single-output fuzzy logic controller. Data fusion involved lateral offset ratio and yaw acceleration response from the vision-based LDW and model-based vehicle dynamics frameworks. Real-life datasets were generated for simulation under the MATLAB Simulink platform. Results: Experimental results showed that fusion-based LDW achieved an average lane departure detection rate of 99.96% and 98.95% with false positive rates (FPR) of 0.04% and 1.05% using road footage clips #5–#27 in daytime and night-time, respectively. The average FPR using data fusion-based LDW reduced by 18.83% and 15.22% compared to vision-based LDW in daytime and night-time, respectively. Conclusions: The data fusion-based LDW is a novel way of reducing false lane departure detection by fusing two types of modalities to determine the correct lane departure information. The limitation is the constant warning threshold value used in the current implementation of LDW in the vision-based LDW framework. An adaptive mechanism of warning threshold taking various road structures into account could be developed to improve lane departure detection.

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.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

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