Performance Analysis of Fuzzy Logic-based Controller for MPPT of PV Cell

被引：0
作者：
Radhacharan, Chandragiri [1 ]
Chandra, Toom Nithin [1 ]
机构：
[1] JNTUH Coll Engn, Dept Elect & Elect Engn, Jagtial, Telangana, India
来源：
HELIX | 2020年 / 10卷 / 04期
关键词：
MPPT; Photovoltaic; Boost Converter; Membership Functions; Fuzzy Logic;
D O I：
10.29042/2020-10-4-90-96
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
This paper presents the design of the fuzzy logic controller for maximum power point tracking (MPPT) of a PV cell. Output power of the PV cell is a function of solar irradiation, operating temperature and also depend on impedance seen by it. When there a change in any above parameters the power output of the PV cell goes apart from the maximum power point. so, there should be an algorithm which able to maintain output power at maximum power point. This paper uses a fuzzy logic-based algorithm for maximum power point tracking (MPPT). A change in irradiation level is provided to PV cell and the simulation results show it able to track the maximum power point and improve the dynamic response of the system. All Simulations are done in MATLAB 2020a software.
引用
收藏
页码：90 / 96
页数：7
相关论文
共 50 条
  • [41] Fuzzy Logic Based MPPT for Grid-Connected PV System with Z-Source Inverter
    Teta, Ali
    Rezaoui, Mohamed Mounir
    Kouzou, Abdellah
    Djalab, Aicha
    RENEWABLE ENERGY FOR SMART AND SUSTAINABLE CITIES: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGETIC SYSTEMS, 2019, 62 : 139 - 147
  • [42] Design and implementation of an adaptive fuzzy logic-based controller for wheeled mobile robots
    Das, Tamoghna
    Kar, Indra Narayan
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2006, 14 (03) : 501 - 510
  • [43] Fuzzy logic-based MPPT controllers for three-phase grid-connected inverters
    Ansari, Md Fahim
    Chatterji, S.
    Iqbal, Atif
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2013, 32 (03) : 186 - 195
  • [44] Analysis of MPPT Methods: P & O, INC and Fuzzy Logic (CLF) for a PV System
    Djalab, Aicha
    Rezaoui, Mohamed Mounir
    Teta, Ali
    Boudiaf, Mohamed
    2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT), 2018,
  • [45] COMPARISON OF FUZZY LOGIC BASED MPPT WITH P & O FOR SOLAR PV PUMPING SYSTEM
    Sujith, Sundaran
    Kathiravan, N.
    IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGICAL TRENDS IN COMPUTING, COMMUNICATIONS AND ELECTRICAL ENGINEERING (ICETT), 2016,
  • [46] Fuzzy Logic Type-2 Controller Design for MPPT in Photovoltaic system
    Soltani, Sina
    Kouhanjani, Masoud Jokar
    2017 CONFERENCE ON ELECTRICAL POWER DISTRIBUTION NETWORKS CONFERENCE (EPDC), 2017, : 149 - 155
  • [47] Design and Implementation of MPPT Fuzzy Logic Controller for Inverter Connected to Water Pump
    Pamuji, Feby Agung
    Saputra, Kurniawan Dwi
    Riawan, Dedet Candra
    Soedibyo
    Suryoatmojo, Heri
    Ashari, Mochamad
    Arumsari, Nurvita
    PRZEGLAD ELEKTROTECHNICZNY, 2022, 98 (08): : 146 - 153
  • [48] Development of a Fuzzy Logic-Based PV Solar Tracking System Simulated Using QT Fuzzy Engine
    del Rosario, Jay Robert B.
    Dadios, Elmer
    2014 INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM), 2014,
  • [49] Performance enhancement of fuzzy-PID controller for MPPT of PV system to extract maximum power under different conditions
    Hai, Tao
    Zhou, Jincheng
    Furukawa, Noritoshi
    SOFT COMPUTING, 2024, 28 (03) : 2035 - 2054
  • [50] Dynamic Modeling and Analysis of Buck Converter based Solar PV Charge Controller for Improved MPPT Performance
    Venkatramanan, D.
    John, Vinod
    2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2018,
12345