scholarly journals Optimization of an automatic voltage regulator AVR on a synchronous machine using fuzzy control

2021 ◽  
Vol 2135 (1) ◽  
pp. 012004
Author(s):  
Diego N Cuesta Cuesta ◽  
Fernando Martínez Santa
Keyword(s):  
Fuzzy Logic ◽  
Power Supply ◽  
Communication Systems ◽  
Fuzzy Inference ◽  
Synchronous Machine ◽  
Main Function ◽  
Avr System ◽  
Continuous Power ◽  
Relationship Of ◽  
Logic Inference

Abstract The constantly developing society demands more and more electronic devices and microchips that perform vital tasks such as medical services, emergency lighting, communication systems, among others, however these are sensitive to variations and failures of the power supply, such as voltage fluctuations, voltage spikes and interference, for this reason and because of its great importance for its proper functioning must have a continuous power supply, Thus, the work shown in this article proposes to optimize the operation of automatic voltage correction devices AVR used in synchronous power generating machines whose main function is to ensure that the voltage has been constant, for this a solution is proposed based on the use of non-traditional control techniques such as fuzzy logic, For this purpose initially recognizes the relevant elements that make up the AVR system which are amplifier, exciter, generator and sensor then illustrates the mathematical block model that represents the operation of the system which is reduced to transfer function or otherwise as the relationship of the input and output signal of the system, Then a possible classical PID proportional integral derivative proportional control is suggested with the help of the PID tools of the software Matlab ®, where the fuzzy logic inference set is programmed in three stages: first stage: input of the set of rules for voltage error correction, second stage: input of the set of rules for the voltage field output in the synchronous machine, and in a third stage: programming of the fuzzy inference sentences. Finally, the response of each control is compared and the methodology in the design of the alternative control in the synchronous machine is exposed, with the use of the software Matlab®, all this as a study of new trends in control for educational purposes, in the context of Technology in Electricity and Electronic Technology.

USE OF NATURAL VEGETABLE ADAPTOGEN IN BAKERY PRODUCTS TECHNOLOGY

2020 ◽  
Author(s):  
Ю.Н. ВОЛОШИН ◽  
М.М. ЖЕМУХОВА ◽  
Е.Ю. ДОРЕНСКАЯ
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Bakery Products ◽  
Fuzzy Inference Systems ◽  
Interactive Mode ◽  
Baked Products ◽  
Inference Systems ◽  
Logic Inference ◽  
Kinetics Of

Исследована кинетика выпечки хлеба с различным содержанием экстракта лимонника китайского. Приведены результаты органолептического анализа качества полученного продукта с последующей количественной оценкой качества продукта с использованием аппарата нечеткой логики. Установлено, что содержание экстракта лимонника в рецептуре в количестве 15 мл практически не влияет на кинетику выпечки. Сенсорный вкусовой анализ качества выпеченных изделий показал, что наилучшими вкусовыми качествами обладает хлеб, выпеченный по рецептуре с содержанием экстракта лимонника в количестве 3 мл. Использование аппарата нечеткой логики в программном комплексе matlab c расширением fuzzy logic toolbox в блоке нечеткого логического вывода позволяет применять интерактивный режим графических средств редактирования и визуализации всех компонентов систем нечеткого вывода для интерактивной оценки интервальных вкусовых качеств хлеба в зависимости от соотношения ингредиентов рецептуры в соответствии с функцией принадлежности. The paper presents materials on the study of the kinetics of baking bread with different contents of Schisandra chinensis extract and organoleptic analysis of the quality of the resulting product, followed by a quantitative assessment of the quality of the product using a fuzzy logic apparatus. It was established that the content of lemongrass extract in the formulation in the amount of 15 ml practically does not affect the kinetics of baking. Sensory taste analysis of the quality of baked products showed that the best tastes are bread baked according to the recipe with the content of Schisandra extract in the amount of 3 ml. Using the fuzzy logic apparatus in the Matlab software package, the Fuzzy Logic Toolbox extension in the fuzzy logic inference unit allows you to use the interactive mode of graphical editing tools and visualization of all components of fuzzy inference systems for interactive evaluation of interval taste qualities of bread depending on the ratio of recipe ingredients in accordance with membership function.

Priority Based Switching of Loads Using PLC and SCADA

2021 ◽  
Vol 12 (4) ◽  
pp. 1279-1283
Author(s):  
Khadka Vikram Thapa Magar ◽  
Aviral Kandel ◽  
Deepak Neupane ◽  
Dipak Rijal
Keyword(s):  
Power Supply ◽  
Communication Systems ◽  
Personal Computers ◽  
Electrical Parameters ◽  
Electrical Systems ◽  
Input And Output ◽  
Maximum Benefit ◽  
Continuous Power

PLC is a medium between electrical systems and personal computers for SCADA to take input and output bits. SCADA and PLC communication systems make it possible to integrate protection control and monitor electrical parameters together for maximum benefit. The idea is to provide continuous power supply to the load, based on the priority by switching the loads. In case any one of the sources is absent i.e., source 1, source 2 and source 3, then automatically the least priority load cuts-off and first priority load gets supply continuously.

The Application of Fuzzy Logic Inference in Construction Vibration Risk Prediction

2011 ◽  
Vol 243-249 ◽  
pp. 6377-6380
Author(s):  
Zhun Zhang ◽  
Yong Bo Yuan
Keyword(s):  
Fuzzy Logic ◽  
Quantitative Analysis ◽  
Fuzzy Inference ◽  
Primary Phase ◽  
Project Manager ◽  
Construction Site ◽  
Inference Process ◽  
Economical Method ◽  
Logic Inference

Construction induced vibration may cause damage of buildings, disturbance of occupants, and sensitive equipments in buildings surrounding a construction site. The prediction of the construction vibration risk is essential for making decisions before the determination of construction method. Previous methods focus on the prediction based on quantitative analysis. The framework of a new method using fuzzy logic to predict the construction vibration risk is proposed in this paper. This method integrates the knowledge and experience from experts and simulates the inference process of human brain using Mamdani fuzzy inference principle. It is a convenient and economical method when used to provide support for project manager making decisions in primary phase of project.

scholarly journals The idea of fuzzy logic usage in a sheet-based FMEA analysis of mechanical systems

2018 ◽  
Vol 183 ◽  
pp. 03009 ◽  
Author(s):  
Grzegorz Filo ◽  
Joanna Fabiś-Domagała ◽  
Mariusz Domagała ◽  
Edward Lisowski ◽  
Hassan Momeni
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Fuzzy Sets ◽  
Failure Mode ◽  
Fuzzy Inference ◽  
Logic Model ◽  
Analysis Method ◽  
Inference Process ◽  
Fmea Analysis ◽  
Logic Inference

The main purpose of the work which was carried out and is presented in this paper was to examine the possibility of using fuzzy logic inference for conducting a risk analysis with the help of a sheet-based Failure Mode and Effects Analysis method (FMEA). At the beginning, the main features of the analysed method were presented, with particular emphasis put on the Risk, Priority and Number parameters. Then, a proposal has been made which suggests using Matlab Fuzzy Logic Toolbox package in order to convert the factors into the form of fuzzy sets and to define rules for fuzzy inference process has been made. Finally, the created fuzzy logic model was used to present an example analysis of a turbocharger failure in the fuzzified form.

scholarly journals Vessel Multi-Parametric Collision Avoidance Decision Model: Fuzzy Approach

2021 ◽  
Vol 9 (1) ◽  
pp. 49
Author(s):  
Tanja Brcko ◽  
Andrej Androjna ◽  
Jure Srše ◽  
Renata Boć
Keyword(s):  
Fuzzy Logic ◽  
Collision Avoidance ◽  
Decision Model ◽  
Fuzzy Inference ◽  
Weather Conditions ◽  
Target Vessel ◽  
Planning Tool ◽  
Inference System ◽  
International Regulations ◽  
Input Variables

The application of fuzzy logic is an effective approach to a variety of circumstances, including solutions to maritime anti-collision problems. The article presents an upgrade of the radar navigation system, in particular, its collision avoidance planning tool, using a decision model that combines dynamic parameters into one decision—the collision avoidance course. In this paper, a multi-parametric decision model based on fuzzy logic is proposed. The model calculates course alteration in a collision avoidance situation. First, the model collects input data of the target vessel and assesses the collision risk. Using time delay, four parameters are calculated for further processing as input variables for a fuzzy inference system. Then, the fuzzy logic method is used to calculate the course alteration, which considers the vessel’s safety domain and International Regulations for Preventing Collisions at Sea (COLREGs). The special feature of the decision model is its tuning with the results of the database of correct solutions obtained with the manual radar plotting method. The validation was carried out with six selected cases simulating encounters with the target vessel in the open sea from different angles and at any visibility. The results of the case studies have shown that the decision model computes well in situations where the own vessel is in a give-way position. In addition, the model provides good results in situations when the target vessel violates COLREG rules. The collision avoidance planning tool can be automated and serve as a basis for further implementation of a model that considers the manoeuvrability of the vessels, weather conditions, and multi-vessel encounter situations.

scholarly journals Car2Car Communication Using a Modulated Backscatter and Automotive FMCW Radar

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3656
Author(s):  
Antonio Lazaro ◽  
Marc Lazaro ◽  
Ramon Villarino ◽  
David Girbau ◽  
Pedro de Paco
Keyword(s):  
Power Supply ◽  
Communication Systems ◽  
Microwave Frequency ◽  
Proof Of Concept ◽  
Driver Assistance ◽  
Switching Rate ◽  
Fmcw Radar ◽  
Time Signals ◽  
Video Sensors ◽  
24 Ghz

This work proposes the use of a modulated tag for direct communication between two vehicles using as a carrier the wave emitted by an FMCW radar installed in the vehicle for advanced driver assistance. The system allows for real-time signals detection and classification, such as stop signal, turn signals and emergency lights, adding redundancy to computer video sensors and without incorporating additional communication systems. A proof-of-concept tag has been designed at the microwave frequency of 24 GHz, consisting of an amplifier connected between receiving and transmitting antennas. The modulation is performed by switching the power supply of the amplifier. The tag is installed on the rear of the car and it answers when it is illuminated by the radar by modulating the backscattered field. The information is encoded in the modulation switching rate used. Simulated and experimental results are given showing the feasibility of the proposed solution.

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