Query: Voltage tracking of a DC-DC buck-boost converter using Gaussian fuzzy logic control

Candidate papers:

abstract: DC DC converters are the most widely used circuits in power electronics. They can be found in almost every electronic device nowadays, since all semiconductor components are powered by DC sources. DC DC converter usually consists of power semiconductor devices which are operated as electronic switches. Operation of the switching devices causes the inherently nonlinear characteristic to the dc dc converters including the buck boost converter. Proportional Integral Differential (PID) controllers have been usually applied to the dc dc converters because of their simplicity design. However, implementations of this control method to the nonlinear system such as the buck boost converters will suffer from dynamic response for the converter output. To achieve a stable and fast response, nonlinear controller were applied to control buck boost converters. Gaussian Fuzzy Logic Control (GFLC) was designed for the buck boost converters. MATLAB/Simulink was used as the platform in designing both of Gaussian Fuzzy Logic and PID controllers. The controllers performance are compared based on dynamic respond of the controllers in term of settling time (ts) overshoot ratio, peak time (tp) and voltage deviations. Based on simulation results, GFLC have a superior dynamic respond performance compare to PID controller. GFLC produced 0.02% overshoot ratio, 0% voltage deviation and lower setting time (36.08ms) which is a very good dynamic respond in order to achieve desired output voltage values for buck boost converter.
author_names: Gadaffi Bin Omar
title: VOLTAGE TRACKING OF A DC DC BUCK BOOST CONVERTER USING GAUSSIAN FUZZY LOGIC CONTROL
year: 2012

abstract: DC DC converters are electronic devices used to change DC electrical power efficiently from one voltage level to another. Operation of the switching devices causes the inherently nonlinear characteristic of the DC DC converters including one known as the Boost converter. Consequently, this converter requires a controller with a high degree of dynamic response. Proportional Integral Differential (PID) controllers have been usually applied to the converters because of their simplicity. However, the main drawback of PID controller is unable to adapt and approach the best performance when applied to nonlinear system. It will sufer from dynamic response, produces overshoot, longer rise time and settling time which in turn will influenced the output voltage regulation of the Boost converter. Therefore, the implementation of practical Fuzzy Logic controller that will deal to the issue must be investigated. Fuzzy logic controller using voltage output as feedback for significantly improving the dynamic performance of boost dc dc converter by using MATLAB@Simulink software. The design and calculation of the components especially for the inductor has been done to ensure the converter operates in continuous conduction mode. The evaluation of the output has been carried out and compared by software simulation using MATLAB software between the open loop and closed loop circuit. The simulation results are shown that voltage output is able to be control in steady state condition for DC DC boost converter by using this methodology.Scope of this project limited only one types that is Gaussian membership function.
author_names: S Jamali
title: Voltage tracking of DC DC boost converter using Gaussian Fuzzy Logic Controller
year: 2012

abstract: Renewable energy is becoming more popular every day. This is mainly attributed to threats that fossil fuels pose towards the climate change, and also the fact that they are scarce. Thus, solutions such as solar energy are among the top trending alternatives to the fossil fuels. However, one of the main issues with solar energy, particularly with its most popular technique, the photovoltaic solar arrays, is that they are not efficient when it comes to their ratio of power to cost. In order to address this problem, we propose a voltage regulation system that enhances photovoltaic system. The main feature of this system is that it uses a DC DC converter that regulates the power using specific voltage inputs. Combining this system with Maximum Power Point Tracking (MPPT) the efficiency of the photovoltaic panels to reach its maximum capacity. The voltage is regulated using a buck and boost converter. In order to simulate the environment, MATLAB SIMULINK is used for developing and implementing the system, as well as applying the algorithms related to the fuzzy logic controller for Pulse Width Modulation (PWM) signal generation on the converter. The results indicated that using fuzzy logic technique is an effective method for the increasing the photovoltaic system power to cost efficiency. Other than being a novel technique, the fuzzy logic strategy is also robust and adaptable, which allows it to be combined with a multitude of systems.
author_names: Baqer Turki Attayah

Ali Idham Alzaidi

Naib Fasel

Mohammad Rava
title: Enhancing the Photovoltaic System Output Performance Through the Use of Maximum Power Point Tracking and Fuzzy Logic Control
venue: 2021 IEEE International Conference in Power Engineering Application (ICPEA)
year: 2021

abstract: This paper demonstrates a novel method to integrate and control PV source and Battery storage in to a microgrid system to attain reduction in total harmonic distortion at the output. The closed loop control of inverter has been achieved through using proportional integral controller (PI) and fuzzy logic controller. The results of output harmonics contents are compared for simple open loop control and proposed closed loop controls, and it clearly indicates that the closed loop results far superior in terms of harmonic contents at the inverter output voltage. The control of battery energy storage system (BESS) has been presented, with the aid of a DC DC bidirectional buck boost converter for the different modes of operation, such as hold state, charging state and discharging state. With the intention of tracking the maximum power point from PV array, P&O MPPT technique has been used by which duty cycle of converter is controlled. Various operating conditions, such as photovoltaic source alone supplying to the entire load requirement and supplying to battery for its charging, PV source supplying to load requirement only, battery storage unit supplying to load requirement and lastly PV source and battery storage unit jointly supplying to the load requirement, have been analyzed extensively. Detailed analysis has been carried out on the output voltage, output current and output power waveforms for different operating conditions as discussed above, and the output results are analyzed for achieving more beneficial performance of the system. The suggested microgrid energy management system has been modeled and analyzed using MATLAB/Simulink tool.
author_names: Swaminathan Ganesan

V Ramesh

Subramaniam Umashankar

Padmanaban Sanjeevikumar
title: Fuzzy Based Microgrid Energy Management System Using Interleaved Boost Converter and Three Level NPC Inverter with Improved Grid Voltage Quality
year: 2018

abstract: Photovoltaic (PV) power generation has characteristics of uncertainty and intermittence due to varying irradiances and temperatures. Maximum Power Point Tracking (MPPT) algorithm in a DC/DC converter ensures the PV is able to generate its maximum power according to its power voltage curve. This paper proposes a novel method based on Fuzzy Logic System (FLS) to tune the control gains. Sixty three scenarios considering varying insolation and temperature from nine Taguchi's orthogonal experiments are studied to achieve a robust design of control gains. The obtained optimal control gains of FLS hence can be applied to different meteorological conditions. A standalone PV system with a boost converter and load is used to show the applicability of the proposed method.
author_names: Ying-Yi Hong

Peter Mark P Buay

Angelo A Beltran
title: Maximum Power Point Tracking of Photovoltaic System Using Taguchi based Fuzzy Logic Control
venue: 2019 IEEE Milan PowerTech
year: 2019

abstract: Due to the concern with energy emergencies, the energy obtained from the sunlight is considered as the most capable conventional resources. Hence, the maximum power point tracking approach is necessary for obtaining the enhanced efficiency from the solar panels. In the case of direct current (DC) application, the output obtained from the photo voltaic (PV) array cannot be directly connected to the electronic devices. For regulating the output from the PV array, the DC DC converter is provided in between the load and the array. The converter design plays a significant role to track the maximum power point of the solar panel. This paper describes the design of three converters, namely the boost, buck boost and buck converter, along with the fuzzy logic controller. It varies the time for switching ON and OFF of the converter concerning changes in the solar panel power. The result of converter power and solar panel for different irradiation is compared for various DC DC converters. The fuzzy logic controller is employed in the generation of optimal control pulse for the DC DC converter. Moreover, in the solar photovoltaic system, the steady state operation is performed and the various solar irradiance results are analyzed. The proposed approach is compared with the various DC DC converters like buck boost converter, buck converter and boost converter to prove the efficiency. Then, the performance analysis of the current, voltage and power of PV is analyzed.
author_names: A Rajavel

N Rathina Prabha
title: Fuzzy logic controller based boost and buck boost converter for maximum power point tracking in solar system
venue: Trans. Inst. Meas. Control
year: 2021

abstract: DC DC converters are used in many application such solar battery system, dc motor drives etc. DC DC converters are used to convert the unregulated dc voltage into regulated dc voltage .The performance of these types of converters are best choice of control methods. Traditional methods require a mathematical model for a system but the fuzzy logic controller doesn't require any mathematical model and very simple to implement .The main objective of this work to reduce the overshoot of these types of converters. This work concentrates on buck boost and cuk converter. The buck boost and cuk converter is simulated for different R Loads and their output voltage is settle at desired voltage .The performance of buck boost and cuk converter are simulated using Matlab/Simulink and comparison study is performed.
author_names: A Geetha
title: Comparison of Buck Boost and CUK Converter Control Using Fuzzy Logic Controller
year: 2014

abstract: Abstract Z source converters are recently premised DC DC converters which can perform buck and boost operations, offer greater range of DC output voltage, high reliability and reduce in rush and ripple currents. In photovoltaic (PV) applications, they provide better results compared to conventional DC DC converters. These converters can be used as power conditioning units, so that the voltage boost and reception of maximum power from the PV array can be achieved. The maximum power point tracking (MPPT) is here achieved by controlling the duty cycle of the converter. A fuzzy logic control based MPPT is developed in this work to track the maximum power point of the PV array under variable solar irradiance and temperature conditions. MATLAB simulation and experimental results are given to establish the developed system.
author_names: U Shajith Ali
title: Z source DC DC Converter with Fuzzy Logic MPPT Control for Photovoltaic Applications
year: 2016

abstract: Abstract The paper presents a hybrid system comprising of photovoltaic (PV) and battery with fuzzy logic control (FLC) to meet the demands of isolated off grid DC loads. Perturb and Observe (P&O) method is used to achieve the maximum power point tracking (MPPT) by controlling the duty cycle of a dc dc boost converter. Fuzzy logic controller regulates the power flow of the battery by means of a bidirectional buck boost converter. The complete energy management system has been validated in MATLAB/SIMUINK with variable solar irradiation profile. The simulation results show that the system with fuzzy logic control prolongs the battery lifespan by reducing the battery peak current up to 0.22% and also significantly decreases the settling time and peak overshoot of the DC load voltage up to 16.23% and 14.62% as compared to the system with conventional PID control.
author_names: Neerparaj Rai

Bijay Rai
title: Control of fuzzy logic based PV battery hybrid system for stand alone DC applications
year: 2018

abstract: The test with solar energy extraction are talked in the planned methodthrough improvement and demo of multilevel inverter architecture andthe connected controller algorithms. The planned multilevel invertertopology along with the control algorithms for solar photovoltaic (PV)systems growths the overall energy capture from the sun. Multilevelinverters are frequently used in medium and high power applicationsbecause of their strength and dependability. In real the energy demandcatastrophes in the current scenario will actually raise its demandhence these are the obligatory purposes in the economy growth of thecountry. PV arrays are castoff to make the electricity by using sunlight orirradiation and temperature for maximum power output MPPT are castoffwith SEPIC converters. The multilevel inverters have been familiarized anarray of power semiconductor switches with several lower DC voltagesources. Hence multilevel inverters are developing out as anothersolution for high and medium power voltage levels. PV (photovoltaic)system With Single Ended Primary Inductor Converter(SEPIC) andMaximum Power Point Tracking (MPPT) using fuzzy logic controller withproper constraints clear for algorithm are available here to solve theharmonic problem of PV system. Fuzzy logic controller demonstrationshigh precision in current transition and gives crisp output to the SEPICconverter for buck/boost the output voltage of PV array. FLC foundedon madmen technique and gives duty cycle to the SEPIC converter forboost up the output voltage of PV array so SEPIC converter also knownas dc to dc converter or buck/boost converter, inverters are used forconversion of dc to ac but for reduction of harmonics, multilevel inverteris used in this paper since, it gives near to sine wave with less harmonicoutput and increasing the higher order inverters we can more controlthe output waveform
author_names: A Raghu Rama Chandra

Harpreet Kaur Dalgit Singh
title: Fuzzy Logic Constructed on Sepic Converter For Maximum Power Point Tracking With Five Level Inverter
year: 2020