FUZZY LOGIC CONTROLLER IEEE PAPER 2022


Fuzzy logic controllers usually outperform other controllers in complex, nonlinear, or undefined systems for which a good practical knowledge exists. Fuzzy logic controllers are based on fuzzy sets, that is, classes of objects in which the transition from membership to nonmembership is smooth rather than abrupt. Fuzzy logic control (FLC) is the most active research area in the application of fuzzy set theory, fuzzy reasoning, and fuzzy logic. The application of FLC extends from industrial process control to biomedical instrumentation and securities. 1. Fuzzification, 2. Fuzzy Rule base and Interfacing engine, 3. Defuzzification.







PERFORMANCE COMPARISON OF INDUSTRIAL CONTROLLER AND FUZZY LOGIC CONTROLLER FOR WATER LEVEL TANK CONTROL SYSTEM
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and contrast industrial controllers such as P, PI, and PID, as well as fuzzy logic controllers for From the analysis we concluded that coupled tank system with fuzzy logic controller gives

Functions of fuzzy logic based controllers used in smart building.
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The mathematical model of proposed fuzzy logicbased control system was developed based on PI controller fuzzy logic controllers and add on multi- fuzzy logicbased controllers were

Design Analysis of Hybrid System using Fuzzy Controller
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The fuzzy logic controller applied to controller the power Fuzzy logic controller is discussed in this section.The three phases current is shown in fig 6. Max current delivered by controller

Design of Hybrid Sliding Mode Control via Fuzzy Logic Synthesized by Backstepping Approach for Double Star Induction Motor
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on sliding mode control via fuzzy logic synthesized by backstepping (FBSMC) controller (BSMC) Improved by fuzzy logic is adopted. This control strategy based on the hybrid controllers Consequently, the findings of this study prove that compared to other controllers the use of a FOPID-like fuzzy controller can produce outstanding performance in linear or nonlinear

A NEW TECHNIQUE REVIEW FOR THE GRID CONNECTED WIND-PV USING BACK TO BACK VOLTAGE SOURCE CONVERTERS BY FUZZY CONTROLLER
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The MPPT was applied to these HGICB converter using fuzzy logic controller (FLC) that achieve the maximum power from any irradiation and wind speed condition. The DC bus voltage

Smart Monitoring System for Chronic Kidney Disease Patients based on Fuzzy Logic and IoT
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The Fuzzy Logic Controller was interfaced in the Simulink model to simulate the function. Table III shows the results from the tested parameters. The condition of the patient is displayed

Control of the humidity percentage of a bioreactor using a fuzzy controller to grow bonsai.
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fuzzy controller used in a bioreactor to control the humidity percentage to grow bonsai. The script and fuzzy logic Toolbox were used for the analysis and simulation. The controller

Implementation of Smart Fuzzy Logic Strategy to Manage Energy Resources of a Residential Power System Integrating Solar Energy and Storage System Using
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Hence, in this research, a fuzzy intelligent controller has been of the proposed smart fuzzy logic controller have been system and the controller can save energy about 60 percent.

FUZZY CONTROL BASED ON PERTURB AND OBSERVE ALGORITHM FOR MAXIMUM POWER POINT TRACKING PHOTOVOLTAIC SYSTEMS
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The maximum power tacking controller is required to harvest the maximum power from the operating at the MPP based on PO and fuzzy logic controller (FLC), regulating the DC link

Design of Noniterative Algorithms for Takagi Sugeno Kang Type General Type-2 Fuzzy Logic Systems
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type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic Comparative analysis of noise robustness of type 2 fuzzy logic controllers . Kybernetika,

ANALYSIS OF THE THREE GNET BRUSHLESS DIRECT CURRENT (PMBLDC) MOTOR FUZZY CONTROLLERBASED GENETIC ALGORITHM
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intelligent controllers that are a mixed fuzzy logic controller (FLC), artificial neural network controller (ANNC) and genetic algorithms (GA). These artificial intelligent controllers control

Artificially-intelligent robotic space manipulator using fuzzily-architected nonlinear controllers
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position controllers in the dynamic SCARA model, as part of the force position control method, are type-2 PD fuzzy logic controllers and then type-2 PID fuzzy logic controllers to deal

Rezkalla, Michel and Marinelli, Mattia and Burt, Graeme (2017) Implementation of fuzzy logic for mitigating conflicts of frequency containment. In: Proceedings of
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by the use of multiple controllers or operating parameters on a DER unit, this study presented a method of combining multiple objectives by means of fuzzy logic . The simulation results

and Life Cycle Cost Assessment of Isolated Structures Subjected to Pounding With Smart Hybrid Isolation System Using a Modified Fuzzy Based Controller
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2 fuzzy logic controller with adaptive red-zone function (IT2FS+RZF) to reduce pounding possibilities. The fragility curves of the building for various cases are determined using IDA

An Interval Type-2 Adaptive Neuro- Fuzzy Inference System Based, Artificial Pacemaker Design and Stability Analysis
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signal that is applied to PID ( fuzzy logic controller base on ANFIS in our proposed method). fuzzy logic model, step response was analyzed and compared with the other PID and Fuzzy

Quantum Circuit Controller
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Controllers can be designed using rules in natural language, these are called fuzzy logic controllers . A set of rules to control the pendulum, figure are formulated in tabular form as

Enhancement of Photovoltaic Pressurized Irrigation System Based on Hybrid Kalman Fuzzy
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Some researchers apply fuzzy logic controller (FLC) to photovoltaic water pump systems with a fixed hydraulic load, namely lifting water to a reservoir at a fixed height [15]. The method

Raspberry Pi Design and Hardware Implementation of FuzzyPI Controller for Three-Phase Grid-Connected Inverter. Energies 202 1 843
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A two- fuzzy logic controller scheme is proposed to control the DC/DC converter and the (LVRT) capability which is controlled by a fuzzy logic controller . In reference , a DC DC

Enhanced Multilevel Fuzzy Inference System for Risk Adaptive Hybrid RFID Access Control System.
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The risk access control is designed using the Fuzzy Logic Controller . The EHRAMFIS consists of two layers of fuzzy logic where the first layer has two FIS: the authorization FIS and the based in AI through a Fuzzy Logic model developed to predict the As quality is a subjective concept, Fuzzy Logic is a suitable Design of Mamdani fuzzy logic controllers with rule base

Fuzzy and ANFIS Controllers to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter
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ANFIS can handle complicated and nonlinear issues because it mixes neural networks with fuzzy logic . Even if the objectives arent specified, ANFIS be able to achieve the best

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC
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Abstract: In this research, an intelligent fuzzy logic technique is embedded with robust Moreover, fuzzy logic technique is integrated to construct a hybrid controller that has the ability to to fuzzy logic expert knowledge about the control processes can be employed to heuristically design fuzzy controllers and incorporated into the fuzzy logic controller . As a result, the

Sustainable Farming in Soilless Culture Non-Circulating Kratky Method Using Fuzzy Logic Control and Measure Greenness
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This study to control ecosystems introduce fuzzy logic controls fuzzy controller likewise produces great results for the appropriate EC spectrum. It be stated using a fuzzy controller

Fuzzy PID Controller Optimized by Improved Gravitational Search Algorithm for Load Frequency Control in Multi-area Power System.
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and then converts fuzzy input into fuzzy output by fuzzy logic table, finally, FIS defuzzifies fuzzy output to get TABLE I shows the rule of fuzzy logic in this paper , and the method of

Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions. Energies 202 1 1335
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The fuzzy logic process followed in this paper is based on Mamdani method [27], which is the most commonly used method in fuzzy logic synthesis with a fuzzy logic controller . Int. J.

Wide area fuzzy controller with latency compensation in order damping of sub synchronous resonance in DFIG based wind farms
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Section 4 describes designing wide area fuzzy logic controller (FLWADC) based on Mamdani inference system. Section 5 discusses the case study and time domain simulation end

Reinforcement learning based feedback control of tumor growth by limiting maximum chemo-drug dose using fuzzy logic
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based controller is designed to extract a treatment protocol because the design of a model-based controller The Q-learning algorithm is used to develop an optimal controller for cancer

Optimal Backstepping-FOPID Controller Design for Wheeled Mobile Robot
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controller to handle unmodeled dynamics by Fierro et al. [1 19], while Das Kar [20] investigated an online training using an adaptive fuzzy logic controller PD fuzzy logic controllers

Fuzzy sliding mode power control for wind power generation systems connected to the grid
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overcome this problem, we propose the model that combines between fuzzy logic control For this the term Kd.sat(S(Un) can be replaced by a fuzzy controller . This controller has an

Fuzzy Logic ‑Based Energy‑Optimal Collinear DF Relay Placement in Two‑Hop− Fading Channel
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fuzzy logicbased approach, where two inputs path loss (a) an end to end outage act like a fuzzy establishes the optimal relay location as a fuzzy output. Some related literature review [6fuzzy logic controllers . Design and develop the software for control of Physical Parameters using fuzzy logic controllers . for control of Physical Parameters using fuzzy logic controllers .

IoT-based electromagnetic actuator for CVT: basic design and prototyping
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ration with integrating a fuzzy logic controller CVT, wheel speed sensor, CVT pulley position sensor, and CVT secondary pulley revolution sensor. The fuzzy logic controller is used to

Performance improvement of closed loop optimal cascaded high level multilevel inverter fed induction motor drive using ANFIS with low THD and effective
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Comparison of closed loop optimal high level novel multilevel inverter fed induction motor drive using PI controller and fuzzy logic controller described [16]. Initially in industry

A Novel Fuzzy Based Total Harmonic Distortion and Output Current Optimization Method of Power Transfer System for Power Loss Reduction Using IPT
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Proposed fuzzy topology for dynamic IPT system Design Of Fuzzy Logic Controller The In short fuzzy logic scheme is converted into the human logic system. Here Fig.6 and Fig.7

Bidirectional Grid-Connected Single-Stage Converter with Unfolding Circuit
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Fuzzy controller structure: The structure of the fuzzy logic controller is based on fuzzy sets, where The advantage of using fuzzy logic is that it allows us to simulate human inference

Voltage Sag Compensation in Transmission Line using Advanced Dynamic Voltage Restorer with SRF Controller
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Electrical apparatus is very sensitive to the voltage distortions in power systems. Due to faults and switching actions various harmonics are produced in transmission lines. In this article,

Fuzzy entropy type II method for optimizing clean and renewable solar energy
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A fuzzy logic controller and sliding mode control system has been introduced which is claimed to have robust properties compared to high calculation methods such as predictive control

Energy Management Control Strategy for Hybrid Energy Storage Systems in Electric Vehicles
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The strategy including wavelet transform algorithm, fuzzy logic controller and Markov chain as, a fuzzy logic controller is constructed using a series of preset control logics . Besides,

Analysis of Patients Data Using Fuzzy Expert System
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As a result, using fuzzy rules to express information and fuzzy inference methods is to that of fuzzy logic controllers (N. Allahverd). Fig.1. shows the Fuzzy Expert System.

A Study of Transmission System with Artificial Intelligence Technique
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controllers controllers such as fuzzy logic controllers ANN controllers and ANFIS, can be utilised to improve the performance of the HVDC system in addition to conventional controllers

Design of reasonable initialization weighted enhanced Karnik-Mendel algorithms for centroid type-reduction of interval type-2 fuzzy logic systems
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Abstract: Interval type-2 fuzzy logic systems (IT2 FLSs) already become an emerging technology in recent years. As the most popular type-reduction (TR) algorithms, Karnik-Mendel (KM

PID Controller with Robotic Arm using Optimization Algorithm
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issue using triangular controller with a crisp value of the fuzzy technique in order to improve the robotic performance by insert the traditional PID controller with Fuzzy technique as well

PREDICTION OF RAINFALL EVENT IN COASTAL REGION WITH FUKYAMMA AND FUZZY EXPERT SYSTEM
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fuzzy expert systems, fuzzy modeling, fuzzy associative memory, fuzzy logic controllers and fuzzy There are two types of FIS that can be implemented in Fuzzy Logic : Mamdani-type and

A Review Article Of High Voltage Power Distribution Power Stability Enhancement Using Svc Controller
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designed different types of controllers which can improve A new PI, Fuzzy logic and Hybrid PI- fuzzy logic controller have Therefore, thyristor-based SVC with controllers have been

A New Fuzzy Direct Power Control of Doubly-Fed Induction Generator in a‎ Wind Power System
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The values of this parameter for compression of fuzzy logic controller method and the proposed method are presented in Table. 5. Considering the simulation results, the proposed

A Particle Swarm Optimization-trained Artificial Neural Network of Three Stage Maximum Power Tracking Solar Charge Controller
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intelligent technique containing fuzzy logic controller , and it either to the battery charge controller directly or to the DC- to used three stage maximum charge controller to reduce the

Evaluation quality of service for internet of things based on fuzzy logic : a smart home case study
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We used fuzzy logic to select the most appropriate and Therefore, fuzzy logic is a worthy method to provide a good measure that the model with its fuzzy performance importance index (

Intelligent Controllers to Extract Maximum Power for 10 KW Photovoltaic System
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Various intelligent controllers based on MPPT methods are presented in this paper to attain Section 3 describes the different smart controllers . In section the proposed smart

Design of Lift Group Control Systems based on PLC
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The controller uses the fuzzy identifier to recognize traffic pattern while the zoning technique adjusts the controller according to the fuzzy traffic patterns. The fuzzy logic controller

Electric Vehicle Battery Charging System Design with Dual Flyback Type Converter
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Theoretical analysis, modeling, fuzzy logicbased control Using PI, PID and Fuzzy Logic Controllers for PMDC Motor Speed load-frequency stability using fuzzy logic controllers . JECE,

A Review on Different Performance Improvement Techniques for PV Systems
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digital signal controller (model: the fuzzy logicbased controller provides a faster tracking in comparison with conventional fixed step perturb and observe method. A fuzzy logic controller

A Review On Load Frequency Control of Two Area Power System Using Various Techniques
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fuzzy controllers helpful in understanding an extensive variety of control issues. The fundamental constructing units of a Fuzzy Logic Controller are a fuzzification unit, a fuzzy fuzzy

AN Intelligent System for Predicting Students Performance
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MATLAB fuzzy logic toolbox was used to model the fuzzy rules logic in this study with the fuzzy logic controller resembles that of the human reasoning process. This is where fuzzy logic

MRAC Adaptive Control Design for an F15 Aircraft Pitch Angular Motion Using Dynamics Inversion and Fractional-Order Filtering
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to design a simple fractional adaptive controller that is able to aircraft and flight supervision like Fuzzy Logic Controllers This is a major advantage of such adaptive controllers as the

Risk analysis model with interval type-2 fuzzy FMEA Case study of railway infrastructure projects in the Republic of Serbia
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Sets are presented at the Figure where it can be seen that the membership functions are fuzzy values in Type-2 Fuzzy Logic [35-37]. The introduction of fuzzy logic in FMEA is done

Energy Reports
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controllers based on the fuzzy logic theory. The first fuzzy proportional derivative (PD) controller The second controller represented by a fuzzy hysteresis regulator ensures better control

Research on Temperature Control System of Capacitor Hot Press Based on Improved Particle Swarm Optimization
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In 79 Section we carry out the design of the fuzzy logic of the system. In Section we The input variables of the fuzzy controller designed in this paper are Gaussian membership we put forward a review of type-2 fuzzy logic concepts; in Chap. we present the definitions and Systematic design of a stable type-2 fuzzy logic controller . Appl. Soft Comput.

fuzzy logic controller IEEE PAPER 2021





Mathematical Comparison of Defuzzification of Fuzzy Logic Controller for Intelligence Air Conditioning System
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The objective of this paper is to compare several defuzzification techniques for the application of an air cooler control design in order to predict the error difference between different methods. The four input parameters are considered to be user temperature (UT)Recently, autonomous mobile robots have been increasingly developed for many applications related with surveillance, transportation, and inspection. This paper introduces an autonomous robot motion control based on PID, Fuzzy, and Fuzzy-PID controllers. The

Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads
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Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted This project mainly focuses on the DSTATCOM and different control methodology of DC capacitor voltage basically PI controller is used to regulate dc capacitor voltage, by using different control algorithms ie load compensation. However, when loading changes, the DC

Modeling of Alternating Current Motor Performance for Increased Production Using Fuzzy Logic Controller
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The low productivity experienced in our industries is as a result of not imbibing intelligence in its production mechanism. We know that induction motors are reliable, robust and with good operating characteristics. A means of starting, regulating and controlling operating

Comparison of BLDC Motor Controller Design for Electric Vehicles Using Fuzzy Logic Controller and Artificial Neural Network
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The existence of technologies such as electric motors such as the Brushless DC Motor become one of the solutions to replace the fossilfueled engine. In order for the BLDC motor to rotate at controlled speed, a closed system is needed which can correct the actual speed

Power quality improvement using fuzzy logic controller based unified power flow controller (UPFC)
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The Power quality of the electrical system is an important issue for industrial, commercial, and housing uses. An increasing request for high quality electrical power and an increasing number of distorting loads had led to increase the consideration of power quality byDifference types of DC-DC converter are used in various electronic devices and applications for so many years. But conventional converter cannot afford in high voltage and high current applications. Many researchers have been tried to full-fill the requirements. In this paper

DESIGN AND DEVELOPMENT OF A HYBRID RENEWABLE ENERGY SYSTEM USING FUZZY LOGIC CONTROLLER FOR MAXIMUM POWER POINT
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DESIGN AND DEVELOPMENT OF A HYBRID RENEWABLE ENERGY SYSTEM USING FUZZY LOGIC CONTROLLER FOR MAXIMUM POWER POINT TRACKING DESIGN AND DEVELOPMENT OF A HYBRID RENEWABLE ENERGY SYSTEM USING FUZZY LOGIC Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there is an uncertainty present in the modeling of PV modules owing to varying irradiance and temperature. To solve such uncertainty, the fuzzy logic control-based

IMPLEMENTATION OF PV BASED BIDIRECTIONAL DC TO DC CONVERTER USING FUZZY LOGIC CONTROLLER FOR ELECTRIC VEHICLE APPLICATION
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In this project explains how the bidirectional converter can be used to charge electric vehicles. We used a bidirectional dc to dc converter to design the electric vehicles charging system. A bidirectional half-bridge DC/DC converter is used in hybrid electric vehicles to

The Development of Fuzzy Logic Controller (FLC) in Air Conditioning System Using Several Types of Fuzzy Numbers
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This is the age of modern science where different kinds of gadgets are used for the betterment of humanity. A variety of Electronics, Intelligence systems are invented via modern technology where FLC ( Fuzzy Logic Controller ) is used to develop their intelligence

Optimal operation of BESS for peak shaving of distribution network using fuzzy logic controller
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Page 1. International Journal of Smart Grid and Clean Energy Optimal operation of BESS for peak shaving of distribution network using fuzzy logic controller Moh Moh Win Shwe a Wunna Swe a and Shouji USUDA b a Department of Electrical Power Engineering, Mandalay

Reduce Voltage Sag in Distribution System using Fuzzy Logic Controller based Dynamic Voltage Restorer (DVR)
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Power quality is extensive term to describe the effectiveness and its performances. The main task of power system is to supply their customer a continuity power supply at ever, because of the whole power system is the big network which includes different types of loads, at the

A BL-CSC CONVERTER FED BLDC MOTOR DRIVE WITH POWER FACTOR CORRECTION USING FUZZY LOGIC CONTROLLER
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A brushless DC (BLDC) motor drive based on correction of power factor is fed by a bridgeless canonical switching cell (BL-CSC) converter. Using a single voltage sensor to attain a power factor close to unity on the AC side, the suggested converter working in a

Comparison the Performance of the Dynamic Voltage Restorer Based on PI, Fuzzy Logic, and Fuzzy Neural Controller
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PI controller and fuzzy logic controller has been compared with the proposed fuzzy neural optimized fuzzy logic controller in correcting the sag problems and mitigating the harmonics distortion with linear and non- linear loads

Microgrids connected to the residential grid for energy management utility fuzzy logic controller employed hybrid electric vehicles
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In our research design presents the model of managing the energy for residential purpose and for hybrid vehicle simultaneously. This system integrated with reusable energy storage system such as PV panel and battery. Our energy management system approaches the goal

Research on Power Quality Improvement in Distribution System with Induction Motor Load Using Fuzzy Logic Controlled UPQC
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Series compensator which is meant for voltage restoring is controlled by a fuzzy logic controller . Shunt compensators operation is controlled by extracting d axis and q axis current from load current and DC link voltage is maintained through a fuzzy logic controller

Research on Real Time Implementation of Fuzzy Based Buck Boost Converter Using LabVIEW
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technology to create user-defined instrumentation systems. In this paper, the two-input fuzzy logic controller (FLC) for buck boost converter output-voltage regulation is proposed by using LabVIEW. Here the output voltage has beenThe evaluation of the fuzzy logic controller behaviour is made through the comparison with a traditional technique (PI controller with antiwindup mechanism), using computer simulations (performed with Matlab/Simulink) and experimental results

Intelligent Traffic Light Controller using Fuzzy Logic and Image Processing
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In Section the proposed modules will be presented with, in particular the intelligent fuzzy logic controller design Our proposed system (artificial intelligent control) is fuzzy logic controller with multiple sensors and cams distributed around the traffic signal at each direction

Context-based Reasoning through Fuzzy Logic for Edge Intelligence.
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cloud system. In this paper, we propose a novel approach to provide low-level intelligence for IoT applications through an IoT edge controller that is leveraging the Fuzzy Logic Controller along with edge computing. This low Simulation results are presented comparing the fuzzy logic controller with a traditional approach, using a PI with antiwindup mechanism for slip control No fuzzy processors or any other specific hardware was used to implement the fuzzy logic controller

A Novel Fuzzy-Logic Controlled Tri-Port Converter Fed SRM Drive for EV Application Powered by Solar-PV System
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The another objective is to regulate steady-state error in speed by using PI controller, this controller is un-popular due to tuning issues, to overcome this issues a new intelligent fuzzy logic controller is adopted for achieving good performance

Development of Vision Based Path Tracking Algorithm with Kinematic Motion and Fuzzy Controller
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The input data for vision system of DDMR are taken from the captured images. In order to get the desired result, the control data from the captured images, fuzzy logic controller the kinematics equations and MATLAB/ Simulink are used in this research

Real-Time Evaluation Position Control of Directional Wheel Conveyor Using Fuzzy Embedded PLC and SCADA
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controller. The Fuzzy logic controller is online determined from embedded PLC conveyor.  Index Terms directional wheel, fuzzy logic controller image processing, programmable Logic controller, SCADA I. INTRODUCTION

Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems. Energies 202 1 1727
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cost function. Moreover, a fuzzy logic controller is employed in the outer loop for controlling the speed of the rotor. Accordingly FCS-MPC. Keywords: model predictive control; fuzzy logic controller ; multiple-vector; deadbeat function 1

Development and Implementation of Fuzzy-Like Temperature Controller for a Rice Cooker
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ABSTRACT This paper presents an evaluation of performances of rice cooking system using Intelligent Controller that is Fuzzy Logic Controller (FLC) to meet the special requirements and some limitations of the rice cooking system

FUZZY LOGIC CONTROL SYSTEM IN SMART WASHING MACHINE
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The range is 10 to 100grams of detergent. Designing the Fuzzy Logic Controller The fuzzy logic controller will take a set of inputs from the user, and subsequently, produce the best possible subset of outputs. For this, we will use a Mamdani-style fuzzy inference system

Fuzzy logic power management for a PV/Wind microgrid with backup and storage systems
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Article history: Received Revised Accepted 12 This work introduces a power management scheme based on the Fuzzy Logic Controller (FLC) to manage the power flows in a small and local distributed generation system Fig. 7 Process flow diagram of a fuzzy logic controller Page 8. 706 TV Bhatt et al. of the fuzzy logic controller . That shows process starts with the fuzzification process, then intermediate fuzzy inference engine, and lastly defuzzification process. 4.1 Fuzzification Process

A FUZZY LOGIC APPROACH BASED DIRECT TORQUE CONTROL AND FIVE-LEG VOLTAGE SOURCE INVERTER FOR ELECTRIC VEHICLE
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Keywords: Five leg inverter (FLI), Direct torque control (DTC), Fuzzy logic controller (FLC), Electric vehicle (EV) The shared-leg switching-signals are selected by using a fuzzy logic controller in order to ensure an independent control of the two driving wheels

Design of Adaptive Fuzzy Sliding Mode Controller for Mobile Robot
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is slow. So the second fuzzy logic controller (FLC) is combined with SMC to improve quality of control WMR for quick response time. The results first step. The fuzzy logic controller has been found to be the most attractive. The theoryThis behavior is essential to permit the navigation of a mobile robot in a dynamic environment. This study presents a fuzzy logic controller in order to train an intelligent robot Section IV depicts the Fuzzy Logic Controller (FLC) optimization

Power quality improvement usingthree phase unified power flow controller (pi-fuzzy-ann)
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in this study. Fuzzy logic controller is designed based on Mamdanis Fuzzy Inference Method while ANN is based on weighted average method. This paper analyses and DC offset. Keywords Fuzzy Logic Controller . 2Department of

Hardware in Loop (THIL 402) Validated Type-I Fuzzy Logic Control of Type-III Wind Turbine System under Transients.
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Represenation of notations: J = MI-moment of inertial of the rotor (Kgm2) P = number of poles Tm = Mechanical Torque (Nm) Te = Electromagnetic Torque(Nm) wm = Rotor Mechanical Speed (rad/s) 4. Type I Fuzzy Logic Controller in Wind Enrgy The fuzzy logic controller uses two inputs, ie, solar irradiance (S) and temperature (T); it also uses a single output variable probability/priority factor (P). Both of these input variable data for considered sites in all six zones are feed to fuzzy logic block

Design of Controller for UAV
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1.2.5 FUZZY LOGIC CONTROLLER I. FUZZY LOGIC BASISCS In 1965 Lotfi Zadeh evolved fuzzy logic mathematical device to address uncertainty e) Synthetic intelligence in modern video games is also the use of Fuzzy logic Controller

Multi-stage fuzzy based flexible controller for effective voltage stabilization in power systems
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24]. Therefore, the Fuzzy Logic controller (FLC) can be developed to alleviate these problems. Several GA). The 2nd Fuzzy Logic Controller used based on the global error for each regulator and change of error as input variables. Therefore

Enhancement of Power Quality and Power Flow with Fuzzy-based RIPFC for AC Railway Traction System
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In order to enrich the active power, railway interline power flow controller (RIPFC) is integrated to the system with fuzzy logic controller . Moreover, the proposed RIPFC and RPQC Page 3. interline power flow controller (RIPFC) is integrated to the system with fuzzy logic controller




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