Fuzzy Logic Design Research Articles

Design and performance evaluation of PID, Fuzzy logic and ANN controllers based MPPTs for hybrid electric vehicle applications

ABSTRACT The concept of electric vehicles has become an emerging trend for the last few years owing to their hefty returns. This article also becomes a part of the emerging electric vehicle technology replacing the conventional vehicle. This article presents the illustration of the hybrid electric vehicle employing the solar and fuel cell as the sources of electric vehicle. It is also involved in the proposal of Maximum Power Point Technique (MPPT) for controlling the output of the sources. It also presents the utilisation of different types of controllers like Proportional Integral Derivative Controller (PID), Fuzzy Logic Controller (FLC) and Neural Network (NN)-based peak power point technique for following the maximum power of the sources. This evaluates the performance of different controllers-based power point technique in terms of voltage, current, power, response time, torque ripples and efficiency of the system and aims to improve the system performance by 10%. The proposed hybrid electric vehicle structure has been simulated and results are demonstrated using MATLAB/Simulink.

Meteorological Risk Assessment for Ships with Fuzzy Logic Designer

Fuzzy Logic, an advanced method to support decision-making, is used by various scientists in many disciplines. Fuzzy programming is a product of fuzzy logic, fuzzy rules, and implication. In marine science, fuzzy programming for ships is dramatically increasing together with autonomous ship studies. In this paper, a program to support the decision-making process for ship navigation has been designed. The program is produced in fuzzy logic and rules, by taking the marine accidents and expert opinions into account. After the program was designed, the program was tested by 46 ship accidents reported by the Transportation Safety Investigation Center of Turkey. Wind speed, sea condition, visibility, day/night ratio have been used as input data. They have been converted into a risk factor within the Fuzzy Logic Designer application and fuzzy rules set by marine experts. Finally, the expert's meteorological risk factor for each accident is compared with the program's risk factor, and the error rate was calculated. The main objective of this study is to improve the navigational safety of ships, by using the advance decision support model. According to the study result, fuzzy programming is a robust model that supports safe navigation.

Design of fuzzy logic controlled hybrid model for the control of voltage and frequency in microgrid

Objective: To propose a fuzzy controlled hybrid model for the control of voltage and frequency in the microgrid system to improve the efficiency of the control system in the microgrid. The adapted hybrid model reduces the harmonic distortion to a certain level and controls the voltage and frequency of the microgrid. The performance of proposed fuzzy-based control model is analyzed and compared with existing droop control model. Methods/Findings: This proposed hybrid model of photovoltaic fuel cell model employs a DC/DC converter along with DC/AC inverter. A case study has been carried out and the proposed methodology is efficient in the control technique of the microgrid. To reduce the harmonic distortion in the microgrid and fluctuation in voltage and frequency, a comparison with the droop control technique. Novelty: The microgrid system commonly uses a droop control technique for the control of voltage and frequency to enhance efficient control with the reduction of losses in the system. Even though the droop control method is reliable, the method depends on line parameters and not suitable for the bulk system. The performance is low for a complex system and hence it is not suitable. Various methods for the reliable power with the harmonic reduction has been already proposed.In this paper, a method called fuzzy controlled hybrid model is reviewed and this newly proposed technique is independent of line parameters, reduces the harmonic distortion and can operate for a bulk system with a reliable power supply in the microgrid. Keywords: AC Micro grid; droop control; fuzzy logic; hybrid system; load scenario

Design and Analysis of Fuzzy Logic based Power System Stabilizer

Design and Analysis of Fuzzy Logic based Power System Stabilizer

Peningkatan Kinerja MPPT Menggunakan Kontrol PWM Fuzzy dengan Tuning PID

Utilization of sunlight using solar panels as power plants began to be developed to reduce the use of fossil fuels. The purpose of this study is to design an MPPT model with PV sources. The PID controller is used to improve MPPT performance in regulating the boost converter, while the PID value is set with fuzzy logic. Research methods include simulation design, hardware, load capacity calculation, and fuzzy logic design. The trial was conducted using an electric load in the house. The results of previous studies, using PID control generated 88.77% efficiency. The results of the study using PID control that is regulated by fuzzy logic produces 95.79% efficiency. This method is also able to improve the output of the boost converter voltage, so that with this method the boost converter output voltage is better when compared to other methods.

Design and implementation of fuzzy logic based modified real-reactive power control of inverter for low voltage ride through enhancement in grid connected solar PV system

In a grid connected solar PV system, during grid faults, increase in grid current, dip in voltage at point of common coupling and overshoot in dc link voltage in the inverter side are observed. The solar PV system gets disconnected from the grid whenever the grid voltage goes below a certain nominal value in order to safeguard the cascaded power converter systems from high currents and over voltages. This paper proposes an intelligent fuzzy based real and reactive power control of inverter for effective Low Voltage Ride Through (LVRT) capability during grid faults. The proposed fuzzy logic based modified inverter real and reactive power control strategy, stabilizes the grid voltage by injecting reactive current and limits the grid over current by reducing active power flow into the grid. To regulate the overshoot in dc link voltage during grid faults, a braking chopper and dynamic braking resistor strategies are included in the proposed LVRT scheme. The performance of the proposed inverter control strategy is studied through simulation of 100 kW grid connected solar PV system in MATLAB/SIMULINK 2018a platform. The algorithm is validated in real time hardware of 1 kW grid connected solar PV system. The simulation and hardware results validate the superior performance of the proposed inverter LVRT control strategy in comparison with other conventional schemes during grid faults.

Design and Testing of Fuzzy Logic Based Controller for Active Suspension System of a Quarter Car Model

In today’s scenario, due to increase in sales of Sports Utility Vehicles (SUV’s) more and more people are opting for off road drive. The main challenge is to improve the performance based on handling and comfort. Hence the conventional static spring and damper system are being modified to accommodate semi-active and active systems. In this paper to study the effectiveness of active suspension system, a quarter car model is developed and Fuzzy control strategy is proposed to reduce displacement of chassis. Hydraulic actuator is used to provide active control in the suspension system of the quarter car model. The fuzzy logic controller is interfaced with the hardware system by LabVIEW software. For connecting the hardware with LabVIEW software Arduino is used. The comparison of active and passive suspension system shows that the chassis displacement is decreased by 30% in case of active suspension system whereas the settling time decreases by 69%.

Design and Implementation of Fuzzy Logic based Single Phase Inverter using FPGA Controller

The single phase inverter provides continuous AC power supplies without any interrupt .The idea is to serve sinusoidal AC output whose voltage and frequency can be controlled by PWM pulse. The main theme of this concept is to present a new construction of an FPGA based control techniques for inverter. In this proposed system, a PI controller is used to the single phase PWM voltage source inverter. It minimizes periodic distraction resulted from linear load. Simulation provides the results, with reduced harmonics distortion of the output voltage .and innovative technique for including a fuzzy logic controller through a usual sampled pulse-width modulator is reported. The FLC is used to decrease the harmonic distortion and to offer better standard regulation. Simulations are carried out in ALTERA-Quartus II 8.0 software in addition by means of Matlab/Simulink and the results are presented for various control techniques. FPGA controller is preferred for the real time realization of the switching approach, for the most part owing to its larger computation speed which is able to guarantee the precision of the PWM pulse is developed. At the concluding stage the FPGA is used as a PWM generator in order to apply the appropriate signals for inverter switches

FINITE STATE AUTOMATA DAN LOGIKA FUZZY DALAM PEMILIHAN PAKET PELAMINAN DI KOTA BATAM

Marriage is something that is highly desirable for every potential partner in life. Marriage is considered a sacred activity so it needs to be well planned and mature. The growing development of a business in Batam city makes this business mushrooming because it is definitely needed by every couple who will get married. The availability of a wedding package helps each couple to choose an existing package, both in terms of price, type of tent to be used, number of clothes, and wedding photographer services. In this study, researchers conducted a determination of the problem in the form of a wedding package selection, looking for literature in accordance with the problems in the form of books and journals, analysis with fuzzy logic with the Mamdani method to complete the exact calculations so that prospective brides who will choose the aids package can choose the package that in accordance with the wishes and budget provided. The use of fuzzy logic and the Mamdani method will be assisted by Finite State Automata in making the rule design of fuzzy logic. Output targets achieved in the form of analysis of the determination of the package in the form of fuzzy logic calculations, system design from the analysis stage, retrieval of real data from each aisle in the city of Batam, and the target in the first year in the form of a determination package relevant to every wedding in the city of Batam.

Energy Management System in Battery Electric Vehicle Based on Fuzzy Logic Control to Optimize the Energy Consumption in HVAC System

This particular research has been conducted at University Putra Malaysia (UPM) to investigate the applicability of fuzzy logic technique in enhancing the energy management of battery-powered electric vehicle (BEV). Because of the increasing demand of BEVs, there is a need to increase the battery power while fulfilling the conflicting of battery power needs and power consuming needs for motor and auxiliaries (such as HVAC). The balance between keeping the comfort of HVAC use and increasing the battery range is complicated and the support of Artificial Intelligence can be useful. The study integrated an energy management system, which is using the designed Fuzzy Logic strategy, to enhance the drain of battery power capacity. The simple black box design of the EMS system has two inputs, State of Charge (SoC) and Speed, and three outputs, Heated Seats, Front HVAC, and Rear HVAC. The membership functions of output fuzzy of the Front HVAC, which shows that every output has three equal categories, 1/3, 2/3, 3/3, associated with low, mid, and high. The same approach of membership functions is applied for Rear HVAC, and Heated Seat. The three outputs of the HVAC system assumed to have a constant load of 1000 Watt each and have three equal categories, low, medium, and high. The fuzzy logic design uses a strategy of nine rules. The simulation is applied on MATLAB Simulink environment and the tests are using two driving cycles, the New European Driving Cycle (NEDC) and Japan 10-15. The results show that using the managed HVAC strategy can increase the battery driving range by 9.8-20.4% compared with the full-unmanaged HVAC strategy.

PWM-VSI Fault Diagnosis for a PMSM Drive Based on the Fuzzy Logic Approach

For the purpose of increasing the reliability in a hostile environment, techniques of fault diagnosis have been reported for a three-phase voltage-source inverter (VSI). Based on the average current Park's vector method, this paper proposes a fuzzy-based fault diagnosis method for the VSI in the three-phase permanent-magnet synchronous motor drive. By utilizing the phase current information, the fault symptom variables are calculated by using the average current Park's vector method. The fuzzy logic approach is applied to process the fault symptom variables and obtain the faulty information of power switches. Compared with other fuzzy logic methods, the fuzzy logic design, fuzzy inputs, and fuzzy rules are different. The proposed fault diagnosis method can detect and locate not only the single or multiple open-circuit faults, but also the intermittent faults in power switches, which can improve the reliability of the motor drive system. The effectiveness of the proposed method is validated by both simulation and experiments.

A Stand-Alone Solar PV System with MPPT Based on Fuzzy Logic Control for Direct Current Portable House Applications

Based on the fact of the difficulty of reaching grid electricity to the remote location, and to reduce the complexity of the solar PV system which delivers alternating electricity, this paper proposes a new design with analysis of stand-alone solar PV system which considers the direct current DC loads for small size portable house applications. This proposal reduces the complexity and the cost which are represented by applying the alternating current items such as inverter, filter and/or step up insulating transformer. The presented design considers 2.25 kW rated system power with the capability of Maximum Power Point Tracking (MPPT) based on an effective Fuzzy Logic Control FLC design. The proposed solution is evaluated through comparisons the conventional MPPT methods of the Perturb & Observe (P&O) and the Incremental Conductance (Inc. Cond.) using MATLAB/Simulink software and promises higher priority as a strong prototype for practical applications.

Self-tuning Fuzzy Logic Controller Based on Takagi-Sugeno Applied to Induction Motor Drives

<span>Fuzzy logic controller has been the main focus for many researchers and industries in motor drives. The popularity of Fuzzy Logic Controller (FLC) is due to its reliability and ability to handle parameters changes during load or disturbance. Fuzzy logic design can be visualized in two categories, mamdani design or Takagi-Sugeno (TS). Mamdani type can facilitate the design process, however it require high computational burden especially with big number of rules and experimental testing. This paper, develop Self-Tuning (ST) mechanism based on Takagi-Sugeno (TS) fuzzy type. The mechanism tunes the input scaling factor of speed fuzzy control of Induction Motor (IM) drives Based on the speed error and changes of error. A comparison study is done between the standard TS and the ST-TS based on simulations approaches considering different speed operations. Speed response characteristics such as rise time, overshoot, and settling time are compared for ST-TS and TS. It was shown that ST-TS has optimum results compared to the standard TS. The significance of the proposed method is that, optimum computational burden reduction is achieved.</span>

Design and Application of Fuzzy Logic Based Fire Monitoring and Warning Systems for Smart Buildings

Typical fire monitoring and warning systems use a single smoke detector that is connected to a fire management system to give early warnings before the fire spreads out up to a damaging level. However, it is found that only smoke detector-based fire monitoring systems are not efficient and intelligent since they generate false warnings in case of a person is smoking, etc. There is need of a multi-sensor based intelligent and smart fire monitoring system that employs various parameters, such as presence of flame, temperature of the room, smoke, etc. To achieve such a smart solution, a multi-sensor solution is required that can intelligently use the data of sensors and generate true warnings for further fire control and management. This paper presents an intelligent Fire Monitoring and Warning System (FMWS) that is based on Fuzzy Logic to identify the true existence of dangerous fire and send alert to Fire Management System (FMS). This paper discusses design and application of a Fuzzy Logic Fire Monitoring and Warning System that also sends an alert message using Global System for Mobile Communication (GSM) technology. The system is based on tiny, low cost, and very small in size sensors to ensure that the solution is reproduceable. Simulation work is done in MATLAB ver. 7.1 (The MathWorks, Natick, MA, USA) and the results of the experiments are satisfactory.

Voltage & Current Magnitude Pattern Recognization by Using Fuzzy Logic Toolbox for Fault Types Classification

<p>This research introduces the appropriate input pattern of Fuzzy Logic design for fault type classification of Single Line to Ground Fault at distribution network. The proposed design is solely using Fuzzy Logic as the research technique with input data from PSCAD simulation. PSCAD software simulate the circuit configuration for fault disturbance at the distribution network. The research technique was applied with multiples input values of voltage and current that extracted from the PSCAD simulation. This research testifies the output result by using different fault resistance values; 0.01Ω, 10Ω, 30Ω, 50Ω and 70Ω. Voltage sag and current swell of phase a, b and c that were obtained from the PSCAD simulation have been used as the input variables for Fuzzy Logic design. The acquired results that represented in average accuracy shown that voltage sag and current swell can draw a satisfying accuracy in classifying the fault type.</p>

Coupled fuzzy logic and experimental design application for simulation of a coal classifier in an industrial environment

Coupled fuzzy logic and experimental design application for simulation of a coal classifier in an industrial environment

A Novel Eddy Current Testing Error Compensation Technique Based on Mamdani-Type Fuzzy Coupled Differential and Absolute Probes.

Eddy current testing (ECT) is an accurate, widely used and well-understood inspection technique, particularly in the aircraft and nuclear industries. The coating thickness or lift-off will influence the measurement of defect depth on pipes or plates. It will be an uncertain decision condition whether the defects on a workpiece are cracks or scratches. This problem can lead to the occurrence of pipe leakages, besides causing the degradation of a company’s productivity and most importantly risking the safety of workers. In this paper, a novel eddy current testing error compensation technique based on Mamdani-type fuzzy coupled differential and absolute probes was proposed. The general descriptions of the proposed ECT technique include details of the system design, intelligent fuzzy logic design and Simulink block development design. The detailed description of the proposed probe selection, design and instrumentation of the error compensation of eddy current testing (ECECT) along with the absolute probe and differential probe relevant to the present research work are presented. The ECECT simulation and hardware design are proposed, using the fuzzy logic technique for the development of the new methodology. The depths of the defect coefficients of the probe’s lift-off caused by the coating thickness were measured by using a designed setup. In this result, the ECECT gives an optimum correction for the lift-off, in which the reduction of error is only within 0.1% of its all-out value. Finally, the ECECT is used to measure lift-off in a range of approximately 1 mm to 5 mm, and the performance of the proposed method in non-linear cracks is assessed.

Design of Fuzzy Logic Based Controller for Gyroscopic Inverted Pendulum System

Design of Fuzzy Logic Based Controller for Gyroscopic Inverted Pendulum System

Design and Simulation of Fuzzy Logic Based Temperature Control for a Mixing Process in Therapeutic Pool

Stroke is one cause of the most deaths, in which one way of handling stroke can be done with hydrotherapy. Hydrotherapy is a therapy that is done in the therapeutic pool which is filled with warm water in temperature 31°-34° C. When in the warm water, body burden becomes lighter, so the stroke patients with impaired movement of the body can train the nerves and muscles in order to restore the function of these organs. However, the warm water that is used for the therapy is produced by the heater that requires much electrical energy. This research discussed how to use solar energy to produce hot water using Indirect Evacuated Tube Solar Water Heater systems and make the control system for controlling the mixing process between the hot and cold water by using the Fuzzy Logic Control of the Mamdani method. Therapeutic pool system will be modeled using Simulink. Modeling the mixing process is made on the basis of mass balance and energy balance equations. Then the system will be simulated with interrupted condition and gets set value changes in a particular time. The FLC is successfully reached and maintained steady to a set value. The results will be compared to the performance of the one with Proportional Integral Derivative controller.

Control Strategy for Parallel Hybrid Electric Vehicles

In the recent years, emission norms are becoming more stringent due to increased environmental effects of the fossil fuels used in vehicles. The need for obtaining less polluting and more fuel efficient vehicles has paved the way for Hybrid Electric Vehicles (HEVs). The performance of an HEV relies on the effective usage of the two power sources (ICE and electric motor). The aim is to develop a control strategy to optimize the torque split between the power sources. The road grade has a considerable effect on the overall performance of the vehicle. The optimization of torque splitting is done by acquiring the road grade information with the help of Geographic Information System (GIS) maps. The approach makes use of the Adaptive fuzzy logic in which the output torque of the IC Engine is computed based on the battery State Of Charge (SOC) constraints, driver demand and road grade. In this paper, the design, implementation and testing of the adaptive fuzzy logic based strategy using real world elevation data are presented.