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Design & implementation of smart power management system for self-powered wireless sensor nodes based on fuzzy logic controller using Proteus & Arduino Mega 2560 microcontroller

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JOURNAL OF ENERGY STORAGE 2024年 97卷

作者： Bathre, Mukesh Das, Pradipta Kumar Govt Coll Engn Dept Comp Sci & Engn Keonjhar Odisha India Veer Surendra Sai Univ technol Dept Informat Technol Sambalpur Odisha India

Efficient power management remains a significant challenge in remote sensor networks due to isolated operational environments and limited traditional energy sources. Existing solutions often struggle to adapt to variable demands and incur high maintenance costs. To address these challenges, this research presents a novel power management system tailored for remote sensor nodes. Leveraging fuzzy-logic methodology, the system intelligently allocates energy from diverse sources such as solar, wind, and batteries, optimizing power distribution while extending the system's operational lifespan. Implemented on an Arduino Mega 2560 microcontroller, the system offers adaptability and compatibility with various IoT applications. Its plug-and-play design enables seamless integration with sensor nodes, enhancing their self-powered capabilities. Validation through extensive simulations using Proteus 8.12 Pro confirms the system's efficacy, compatibility, and reliability in sustaining continuous power flow to variable loads and battery units. This research bridges the gap in remote sensor power management, offering a promising solution to mitigate challenges associated with traditional power systems in such environments. By reducing maintenance costs and enhancing reliability, this innovative approach holds promise for enhancing the longevity and effectiveness of remote sensor networks.

关键词： fuzzy-logic controller Power management Self-powered Arduino Mega 2560 Proteus

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De-Loaded Technique Enhanced by fuzzy logic controller to Improve the Resilience of Microgrids Based on Wind Energy and Energy Storage Systems

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ENERGIES 2023年第1期16卷 291页

作者： Mahrouch, Assia Ouassaid, Mohammed Cabrane, Zineb Lee, Soo Hyoung Mohammed V Univ Rabat Engn Smart & Sustainable Syst Res Ctr Mohammadia Sch Engineers Rabat 10090 Morocco Mundiapolis Univ Res Dev & Innovat Lab Casablanca 20180 Morocco Mokpo Natl Univ Dept Elect & Control Engn Mokpo 58554 South Korea

Wind turbine generators (WTGs) are highly sensitive to the disturbances of the grid and tend to disconnect quickly during a voltage dip (when the voltage value is less than 80% of the nominal voltage) or when the frequency is greatly changed. As an increasing number of permanent magnet synchronous generators (PMSGs) are incorporated into the modern power grid, system operators expect PMSG-WT to play an active role in low-voltage ride-through (LVRT) and primary frequency regulation (PFR). Consequently, PMSG-WTs must be capable of supplying additional active power in response to changes in system voltage and frequency. In this context, a new de-loaded technique enhanced by a fuzzy-logic controller is suggested to develop the PMSG-pitch angle control (PMSG-PAC). The studied MG consists of a wind farm (WF), variable load, and a battery energy storage system (BESS). The WF contains five PMSG-WTs which are considered to be the principal resource. The proposed DT-FLC ensures maximum aerodynamic reserve power for the plant, enhances its capability to regulate the PAC, adjusts the WTG drop in response to the wind speed, and increases the resilience of the PMSG-WT in the presence of low voltage. Moreover, the PFR is significantly improved in terms of controlling the PAC (-0.0007 Hz) which meets the frequency maximum droop recommended by the IEEE Std 1547-2018 and the Moroccan grid code, -3 Hz and -2.5 Hz, respectively.

关键词： microgrid resilience low-voltage ride-through primary frequency regulation permanent magnet synchronous generator de-loaded technique fuzzy-logic controller pulse width modulation

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Target Tracking in Mobile Robot under Uncertain Environment using fuzzy logic controller 4

Target Tracking in Mobile Robot under Uncertain Environment ...

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4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

作者： Handayani, Ade Silvia Dewi, Tresna Husni, Nyayu Latifah Nurmaini, Siti Yani, Irsyadi State Polytech Sriwijaya Dept Elect Palembang Indonesia Univ Sriwijaya Fac Comp Sci Robot & Control Res Lab Palembang Indonesia Univ Sriwijaya Fac Engn Dept Mech Engn Palembang Indonesia

ISBN: (纸本)9781538605493

This paper discusses a design of fuzzy logic algorithm in a robot. This algorithm is useful for the robot in seeking and reaching the target. The robot is also accomplished with an ability to avoid obstacles. Although the fuzzy rule that is embedded to the robot is very simple, it gives a good result in target seeking and obstacles avoiding task. The originality of this research is an approach to the rules that can simplify the task by creating faster track for the robot in uncertain environment.

关键词： fuzzy-logic controller navigation target tracking

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Design and implementation of fuzzy logic controller for static switching control of voltage generated in self-excited induction generator

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ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS 2016年第3期7卷 411-427页

作者： Garg, Anjali Sandhu, K. S. Saini, L. M. Northcap Univ Elect Elect & Commun Engn Gurgaon India Natl Inst Technol Dept Elect Kurukshetra Haryana India

Wind energy, which is one of the major sources of renewable energy sources, may be extracted using self-excited induction generators and are preferred in hilly, rural and remote areas where grid connections are either costly or not feasible. However, one of the major problems associated with such generators is its poor voltage regulation. This paper presents the application of fuzzy logic controller to regulate the terminal voltage of such machines by static switching control of dump load. It has been shown that such proposal as presented will enhance the overall dynamic performance of the machine. The simulation results with proposed control model under varying consumer load are found to be much better than with PI controller and electronic load controller.

关键词： Electronic load controller fuzzy-logic controller Matlab/Simulink Proportional-integral controller Self-excited induction generator

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A comparative study of DFIG-based wind energy conversion systems with fuzzy-PID and fuzzylogic controllers

A comparative study of DFIG-based wind energy conversion sys...

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IEEE PES/IAS PowerAfrica Conference

作者： Ntuli, Welcome Khulekani Sharma, Gulshan Kabeya, Musasa Durban Univ Technol Dept Elect Power Engn Fac Engn & Built Envinoronment Durban South Africa Univ Johanneburg Fac Engn & Built Envinoronment Dept Elect Engn Technol Johannesburg South Africa

ISBN: (数字)9781665466394

ISBN: (纸本)9781665466394

This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller;(2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.

关键词： Wind turbine DFIG Reactive power fuzzy-PID controller fuzzy-logic controller wecs

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Adaptive Periodic Disturbance Observer Based on fuzzy logic Compensation for Speed Fluctuation Suppression of PMSM Under Periodic Loads

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2024年第4期60卷 5751-5762页

作者： Wang, Yunchong Li, Peiyi Shen, Jian-Xin Jiang, Chenxin Huang, Xiaoyan Long, Tan Zhejiang Univ Coll Elect Engn Zhejiang Prov Key Lab Elect Machine Syst Hangzhou 310027 Peoples R China Zhejiang Inst Commun Coll Intelligent Transportat Hangzhou 311112 Peoples R China Guangdong Midea Air Conditioning Equipment Co Ltd Foshan 528311 Peoples R China

The permanent magnet synchronous motor (PMSM) in a single-rotor compressor suffers from speed fluctuations during operation as a result of periodic extreme load disturbances, which leads to serious noise and vibration issues. In this paper, a rotor position-based periodic disturbance observer (PDOB) combined with fuzzy logic controllers (FLC) is proposed to improve system anti-interference capability. Firstly, the first-order PDOB is constructed to extract the load disturbance with periodic characteristics. The impacts of the PDOB parameter are analyzed to provide guidance for parameter design. Furthermore, a rotor position-based PDOB is proposed to avoid notch frequency shifts due to fractional delay effects in the time domain. Since low-pass filters (LPF) in the system induce the phase shift and amplitude decay of the compensated current, the FLCs are designed to adjust the phase and amplitude based on the speed fluctuation and its difference. The validity of the proposed schemes is verified with both simulation and experimental results.

关键词： fuzzy-logic controller periodic disturbance observer periodic load permanent magnet synchronous motor speed fluctuation suppression fuzzy-logic controller periodic disturbance observer periodic load permanent magnet synchronous motor speed fluctuation suppression

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Increasing PEM fuel cell performance via fuzzy-logic controlled cascaded DC-DC boost converter

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2024年 54卷 84-95页

作者： Kart, Sude Demir, Funda Kocaarslan, Ilhan Genc, Naci Karabuk Univ Dept Elect & Energy Karabuk Turkiye Istanbul Tech Univ Dept Elect Engn Istanbul Turkiye Khoja Akhmet Yassawi Int Kazakh Turkish Univ Dep Elect Eng Turkestan Kazakhstan Yalova Univ Fac Engn Dept Elect Elect Engn Yalova Turkiye

The voltage level produced by Proton Exchange Membrane (PEM) fuel cell (FC), which is one of the clean energy sources, is low for many industrial applications. For this reason, for many industrial applications such as electric vehicles, it is necessary to use a boost type DC-DC power electronic circuit at the output of PEM FC. In this case, in addition to the PEM FC performance, the dynamic performance and efficiency of the DC-DC converter to be used affect the performance and efficiency of the total system. In this study, a singleswitch cascaded DC-DC boost converter, which has both higher voltage gain and more efficiency compared to conventional cascade converter and other boost type converters, is proposed for PEM FC. Since the proposed single-switch cascaded DC-DC boost converter includes only one controlled-switch, it is efficient as well as smaller in size and less costly compared to the other types. In addition, the proposed single-switch cascaded DC-DC boost converter is tested with the traditional PID and fuzzy-logic control methods to observe the dynamic performance of PEM FC. When the fuzzy logic controller is compared with the PID controller, it is clearly seen that it gives 21% more successful results as per rise time, 71% settling time, 97% overshoot, and 26% RMSE (Root Mean Square Error) error rate. As a result, when the proposed single-switch cascaded DC-DC boost converter is regulated via fuzzy control method, a more efficient PEM FC system which has better dynamic performance can be designed. (c) 2023 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： PEM Fuel cell Cascaded boost converter PID fuzzy-logic controller

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Enhancing Fault Detection and Classification in Grid-Tied Solar Energy Systems Using Radial Basis Function and fuzzy logic-Controlled Data Switch

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JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2024年第1期28卷 41-48页

作者： Calinao, Hilario A. Gustilo, Reggie C. Dadios, Elmer P. Concepcion, Ronnie S. De La Salle Univ Dept Elect & Comp Engn 2401 Taft Ave Manila 1004 Philippines Bulacan State Univ Dept Elect Engn Bulacan 3000 Philippines De La Salle Univ Dept Mfg Engn & Management 2401 Taft Ave Manila 1004 Philippines

This study integrates fuzzy logic-controlled data switching and the radial basis function neural network (RBFNN) for fault detection and classification in grid-tied solar energy systems. The fuzzy logic controller fil-ters out invalid sensor data through a data switch, en-suring that the fault detection and classification system receives reliable input. Training data were prepared through data normalization using the [-score function and principal component analysis, thereby reducing data complexity and standardizing the inputs. The re-sulting RBFNN model exhibited a low mean squared error with a value of 7.67 x 10-4, indicating its ability to classify faults based on the actual system scenarios. Performance evaluation metrics, including accuracy, precision, recall, and F1-score, were used to assess the effectiveness of the RBFNN model. The model demon-strated high accuracy (96.4%), precision (98.281%), recall (98.013%), and F1-score (98.147%), indicating the suitability and effectiveness of the RBFNN model to identify and classify faults in grid-tied solar energy systems.

关键词： computational intelligence fuzzy-logic controller sensors radial basis function neural network grid tied solar energy

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Power Quality Improved Grid-Interfaced PV-Assisted Onboard EV Charging Infrastructure for Smart Households Consumers

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2023年第4期69卷 1091-1100页

作者： Kumar, Nishant Saxena, Vardan Singh, Bhim Panigrahi, Bijaya Ketan Indian Inst Technol Jodhpur Dept Elect Engn Jodhpur 342011 India Indian Inst Technol Delhi Dept Elect Engn New Delhi 110016 India

This work introduces a unique adaptive control technique, and an auto-tuned MPPT (Maximum-power-point tracking) control technique for the grid-interfaced photovoltaic (PV) assisted onboard EV (Electric Vehicle) charging infrastructure. Proposed control algorithm is "Multilayer Multi-order Generalized Discrete Integrator based Adaptive Control (MMGDI-AC). This control technique is developed, including damping reduction, noise removal, delay minimization, filtering harmonic components, and accurate fundamental component estimation feature. Furthermore, an EV safety management feature for safe EV charging is incorporated in the developed MMGDI-AC technique. Moreover, a "Single-input Adaptive fuzzy-logic (SIAFL)" is developed for online optimal decision taking. By using SIAFL with Perturb and Observe (P&O) algorithm, a novel SIAFL tuned P&O (SFPO) MPPT algorithm is introduced, where fixed step-change issues of classical P&O MPPT technique are solved. In this work, a double stage single phase topology is used, where optimal maximum power extraction from the solar PV array, safe EV charging, power management and power quality maintenance are the key features. The abilities of the developed techniques are tested on varying grid abnormalities, as well as the performances are also tested on varying charging dynamics. Test results are shown with the help of developed hardware.

关键词： Electric vehicle (EV) fuzzy-logic controller power quality grid-interfaced system solar PV array

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Design and Performance Analysis of fuzzy Based Hybrid controller for Grid Connected Solar-Battery Unified Power Quality Conditioner

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INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH 2023年第1期13卷 1-13页

作者： Srilakshmi, Koganti Gaddameedhi, Sravanthy Santhosh, D. Teja Yashaswini, N. Valluri, Nagaraju Reddy, J. Ganesh Prasad Kumar, N. M. G. Naik, D. Anil Sreenidhi Inst Sci & Technol Dept Elect Engn Hyderabad India CVR Coll Engn Dept Comp Sci & Engn Hyderabad India Sreenidhi Inst Sci & Technol Dept Mech Engn Hyderabad Pakistan Sreenidhi Inst Sci & Technol Dept Elect & Commun Engn Hyderabad India Sree Vahini Inst Sci & Technol Dept Elect & Elect Engn Tiruvuru India Sree Vidyanikethan Coll Engn Dept Elect & Elect Engn Tirupati India Sreenidhi Inst Sci & Technol Hyderabad India

Nowadays, integration of the non-conventional energy sources like wind, tidal, solar etc into the grid is suggested in order to minimize the losses in the distribution network and to meet the demand. The arrival of the power electronics equipments to control the nonlinear loads has made an impact on the power quality. The unified power quality conditioner is a FACTS device with the back to back converters, coupled together with a DC-Link capacitor. This paper suggests an intelligent hybrid controller for the solar Photo-voltaic system and Battery storage system integrated UPQC. The proposed controller is the combination of fuzzy logic controller and integral sliding-mode controller. The synchronization of phases is created by self tuning filter in association with unit vector generation method (STF-UVGM) for the superior performance of UPQC during the unbalanced/ distorted supply voltages conditions. Therefore, the necessity of Phase-locked-loop, Low pass filters and High pass filters are eliminated. However, Self tuning filter is used for separating the Harmonic and Fundamental components. In addition, STF-UVGM was used for generation of synchronization phases of series and shunt filters. The prime objectives of the suggested fuzzy logic integral sliding mode hybrid controller (FLISMHC) are fast action to retain the DC-Link voltage to the constant value during load/ irradiation variations, diminish the harmonics in the current waveforms, power-factor enhancement, maximum mitigation of sag/swell/ disturbances in the supply voltage, and appropriate compensation for the un-balanced supply voltages. The performance analysis of FLISMHC was investigated on five test cases for several combinations of loads/ supply voltages and to demonstrate the supremacy of the suggested FLISMHC comparative analysis was carried out with the methods that exist in literature and with the standard controllers like PI, sliding mode, and FL. The proposed method shows an extra-ordinary perform

关键词： Self tuning filter fuzzy-logic controller Unified Power Quality Conditioner Solar PV generation Battery system

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