A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems

被引:88
|
作者
Liu, Zhi [1 ]
Mohammadzadeh, Ardashir [2 ]
Turabieh, Hamza [3 ]
Mafarja, Majdi [4 ]
Band, Shahab S. [5 ,6 ]
Mosavi, Amir [7 ,8 ,9 ]
机构
[1] East China Jiaotong Univ, Sch Elect & Automat Engn, Nanchang 330013, Jiangxi, Peoples R China
[2] Univ Bonab, Fac Engn, Dept Elect Engn, Bonab 5551761167, Iran
[3] Taif Univ, Coll Comp & Informat Technol, Dept Informat Technol, At Taif 21944, Saudi Arabia
[4] Birzeit Univ, Dept Comp Sci, Birzeit 627, Palestine
[5] Natl Yunlin Univ Sci & Technol, Coll Future, Future Technol Res Ctr, Touliu 64002, Yunlin, Taiwan
[6] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
[7] Tech Univ Dresden, Fac Civil Engn, D-01069 Dresden, Germany
[8] Norwegian Univ Life Sci, Sch Econ & Business, N-1430 As, Norway
[9] Obuda Univ, John von Neumann Fac Informat, H-1034 Budapest, Hungary
关键词
Batteries; Fuzzy logic; Solar energy; Control systems; Voltage control; Uncertainty; Thermal stability; Fuzzy systems; learning algorithms; power management; type-3 fuzzy systems; adaptive control; machine learning; artificial intelligence; POWER POINT TRACKING; SLIDING MODE; BATTERY; STORAGE; LOGIC; OPTIMIZATION; VOLTAGE; CHARGE;
D O I
10.1109/ACCESS.2021.3049301
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, a novel method based on interval type-3 fuzzy logic systems (IT3-FLSs) and an online learning approach is designed for power control and battery charge planing for photovoltaic (PV)/battery hybrid systems. Unlike the other methods, the dynamics of battery, PV and boost converters are considered to be fully unknown. Also, the effects of variation of temperature, radiation, and output load are taken into account. The robustness and the asymptotic stability of the proposed method is analyzed by the Lyapunov/LaSalle's invariant set theorems, and the tuning rules are extracted for IT3-FLS. Also, the upper bound of approximation error (AE) is approximated, and then a new compensator is designed to deal with the effects of dynamic AEs. The superiority of the proposed method is examined in several conditions and is compared with some other well-known methods. It is shown that the schemed method results in high performance under difficult conditions such as variation of temperature and radiation and abruptly changing in the output load.
引用
收藏
页码:10498 / 10508
页数:11
相关论文
共 50 条
  • [1] A New Approach for Interval Type-3 Fuzzy Control of Nonlinear Plants
    Leticia Amador-Angulo
    Oscar Castillo
    Juan R. Castro
    Patricia Melin
    [J]. International Journal of Fuzzy Systems, 2023, 25 : 1624 - 1642
  • [2] A New Approach for Interval Type-3 Fuzzy Control of Nonlinear Plants
    Amador-Angulo, Leticia
    Castillo, Oscar
    Castro, Juan R.
    Melin, Patricia
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2023, 25 (04) : 1624 - 1642
  • [3] A New Type-3 Fuzzy PID for Energy Management in Microgrids
    Fan, Weiping
    Mohammadzadeh, Ardashir
    Kausar, Nasreen
    Pamucar, Dragan
    Ide, Nasr Al Din
    [J]. ADVANCES IN MATHEMATICAL PHYSICS, 2022, 2022
  • [4] An Interval Type-3 Fuzzy System and a New Online Fractional-Order Learning Algorithm: Theory and Practice
    Mohammadzadeh, Ardashir
    Sabzalian, Mohammad Hosein
    Zhang, Weidong
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (09) : 1940 - 1950
  • [5] Towards Interval Type-3 Intuitionistic Fuzzy Sets and Systems
    Castillo, Oscar
    Melin, Patricia
    [J]. MATHEMATICS, 2022, 10 (21)
  • [6] Type-3 fuzzy system for dynamic system control
    Aliyev, R.
    Abizada, S. R.
    Abiyev, R. H.
    [J]. IRANIAN JOURNAL OF FUZZY SYSTEMS, 2024, 21 (03): : 65 - 76
  • [7] Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction
    Cao, Yan
    Raise, Amir
    Mohammadzadeh, Ardashir
    Rathinasamy, Sakthivel
    Band, Shahab S.
    Mosavi, Amirhosein
    [J]. ENERGY REPORTS, 2021, 7 : 8115 - 8127
  • [8] Towards an Efficient Approach for Mamdani Interval Type-3 Fuzzy Inference Systems
    Ontiveros, Emanuel
    Melin, Patricia
    Castillo, Oscar
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2024, 26 (07) : 2172 - 2190
  • [9] Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions
    Castillo, Oscar
    Castro, Juan R.
    Melin, Patricia
    [J]. AXIOMS, 2022, 11 (06)
  • [10] A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications
    Oscar Castillo
    Fevrier Valdez
    Patricia Melin
    Weiping Ding
    [J]. IEEE/CAAJournalofAutomaticaSinica., 2024, 11 (08) - 1756