fuzzy logic controller 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