Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system

被引:118
作者
Dounis, Anastasios I. [1 ]
Kofinas, Panagiotis [1 ]
Alafodimos, Constantine [1 ]
Tseles, Dimitrios [1 ]
机构
[1] Technol Educ Inst Piraeus, Dept Automat, Egaleo 12244, Greece
关键词
Maximum power point tracking; Adaptive fuzzy PID controller; Fuzzy gain scheduling; Adaptive scaling factors; Two-level control system architecture; Fuzzy logic system; LOGIC CONTROL;
D O I
10.1016/j.renene.2013.04.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper proposes a methodology of designing a Maximum Power Point Tracking (MPPT) controller for photovoltaic systems (PV) using a Fuzzy Gain Scheduling of Proportional-Integral-Derivative (PID) type controller (FGS-PID) with adaptation of scaling factors (SF) for the input signals of FGS. The proposed adaptive FGS-PID method is based on a two-level control system architecture, which combines the advantages of fuzzy logic and conventional PID control. The initial values of the PID's gains are determined by the Ziegler-Nichols tuning method. During transient and steady states, the PID's gains are adapted by the FGS-PID to damp out the transient oscillations, to reduce settling time and to guarantee system stability and accuracy. Also, the conditioned input signals of the FGS-PID are tuned dynamically by gain factors which are based on fuzzy logic system (FLS). The FLS is characterized by a set of fuzzy rules which are fuzzy conditional statements expressing the relationship between inputs (error and change of error) and outputs. This approach creates an adaptive MPPT controller and achieves better overall system performance. The simulation results demonstrate the effectiveness of the proposed adaptive FGS-PID and show that this approach can achieve a good maximum power operation under any conditions such as different levels of solar radiation and PV cell temperature for varying PV sources. Compared to conventional methods (PID, perturb and observe method P&O), this method shows a considerable high tracking performance. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:202 / 214
页数:13
相关论文
共 32 条
  • [1] Al-Odienat Abdullah I., 2008, American Journal of Applied Sciences, V5, P653, DOI 10.3844/ajassp.2008.653.658
  • [2] Maximum power point tracking using fuzzy logic control
    Algazar, Mohamed M.
    AL-monier, Hamdy
    Abd EL-Halim, Hamdy
    Salem, Mohamed Ezzat El Kotb
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 39 (01) : 21 - 28
  • [3] [Anonymous], 2011, INT J ADV ENG TECHNO
  • [4] [Anonymous], 2012, INT J RENEWABLE ENER
  • [5] Basil M.H., 2012, INT J ADV RES ARTIF, V1, P14
  • [6] Fuzzy characterization of flawed metallic plates with eddy current tests
    Cacciola, M.
    Morabito, F. C.
    Polimeni, D.
    Versaci, M.
    [J]. PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2007, 72 : 241 - 252
  • [7] Chang YH., 2011, P INT MULT C ENG COM, V2, P16
  • [8] Coelho Roberto F., 2009, 2009 Brazilian Power Electronics Conference. COBEP 2009, P673, DOI 10.1109/COBEP.2009.5347723
  • [9] On the Lambert W function
    Corless, RM
    Gonnet, GH
    Hare, DEG
    Jeffrey, DJ
    Knuth, DE
    [J]. ADVANCES IN COMPUTATIONAL MATHEMATICS, 1996, 5 (04) : 329 - 359
  • [10] Comparison of photovoltaic array maximum power point tracking techniques
    Esram, Trishan
    Chapman, Patrick L.
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2007, 22 (02) : 439 - 449