Maximum power point tracking algorithm based on sliding mode and fuzzy logic for photovoltaic sources under variable environmental conditions

2017 ◽  
Author(s):  
L. Atik ◽  
P. Petit ◽  
J. P. Sawicki ◽  
Z. T. Ternifi ◽  
G. Bachir ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Environmental Conditions ◽  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Tracking Algorithm ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Fuzzy maximum power point tracking compared to sliding mode technique for photovoltaic systems based on DC-DC boost converter

2021 ◽  
pp. 67-73
Author(s):  
K. Nebti ◽  
R. Lebied
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Control Technique ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point

Aim. This paper presents the amelioration of maximum power point tracking using fuzzy logic methods for photovoltaic system supplying a standalone system. Method. The main role of the maximum power tracking is to force the system for working at the maximum point for each change of meteorological conditions. The classic technique Perturb and Observe is more attractive due to its simple and high efficiency. Sliding mode is a non-linear control technique; characterised by robustness against the parameters change or disturbances, it gives a good maximum power operation under different conditions such as changing solar radiation and photovoltaic cell temperature. Novelty. Fuzzy logic tracking technique is treated. Fuzzy rules construction is based on Perturb and Observe behaviour when the appropriate disturbance step is produced in order to obtain a fast system with an acceptable precision. We use in our study 60 W photovoltaic panel associated to boost chopper converter in order to supply a standalone system. Results. As show in results figures using fuzzy maximum power point tracking the ameliorate performances especially the very low oscillation rate (nearly 0.6 W), and very acceptable response time 0.1 s.

scholarly journals Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System

2021 ◽  
Vol 11 (13) ◽  
pp. 5927
Author(s):  
Cristian Napole ◽  
Mohamed Derbeli ◽  
Oscar Barambones
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point Tracking ◽  
Power Point

Photovoltaic (PV) panels are devices capable of converting solar energy to electrical without emissions generation, and can last for several years as there are no moving parts involved. The best performance can be achieved through maximum power point tracking (MPPT), which is challenging because it requires a sophisticated design, since the solar energy fluctuates throughout the day. The PV used in this research provided a low output voltage and, therefore, a boost-converter with a non-linear control law was implemented to reach a suitable end-used voltage. The main contribution of this research is a novel MPPT method based on a voltage reference estimator (VRE) combined with a fuzzy logic controller (FLC) in order to obtain the maximum power from the PV panel. This structure was implemented in a dSpace 1104 board for a commercial PV panel, PEIMAR SG340P. The scheme was compared with a conventional perturbation and observation (P&O) and with a sliding mode controller (SMC), where the outcomes demonstrated the superiority of the proposed advanced method.

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