ABSTRACT
In this
study, a fuzzy sliding mode control (FSMC) based maximum power point tracking
strategy has been applied for photovoltaic (PV) system. The key idea of the
proposed technique is to combine the performances of the fuzzy logic and the
sliding mode control in order to improve the generated power for a given set of
climatic conditions. Different from traditional sliding mode control, the
developed FSMC integrates two parts. The first part uses a fuzzy logic
controller with two inputs and 25 rules as an equivalent controller while the
second part is designed for an online adjusting of the switching controller’s
gain using a fuzzy tuner with one input and one output. Simulation results
showed the effectiveness of the proposed approach achieving maximum power
point. The fuzzy sliding mode (FSM) controller takes less time to track the
maximum power point, reduced the oscillation around the operating point and
also removed the chattering phenomena that could lead to decrease the
efficiency of the photovoltaic system.
KEYWORDS
1. DC-DC
converter
2. Fuzzy
sliding mode control
3. photovoltaic
system
4. MPPT
5. Solar
energy
SOFTWARE: MATLAB/SIMULINK
In this
paper, a fuzzy sliding mode controller based MPPT technique was developed and
tested. The proposed controller is designed by combining the fuzzy logic and
sliding mode control to guarantee the stability and the tracking performance
and also to avoid the drawbacks of the traditional SM and FL controllers. A
Matlab/Simulink based simulation of a stand-alone PV system under varying
climatic conditions and two levels of load was carried out to validate the
proposed controller. Simulation results demonstrate that the designed FSMC-MPPT
exhibits good responses as it successfully and accurately achieved the maximum
power point with a significantly higher performance than the P&O, SM and
FLC strategies. The proposed approach provides a feasible approach to control
PV power systems.
REFERENCES
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[2] Bhatnagar,
P., & Nema, R.K. (2013). Maximum power point tracking control techniques:
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M., Barambones, O., & Sbita, L. (2015). Efficiency optimization of a
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[4]
Kalashani, Mostafa Barzegar et Farsadi, Murtaza. New Structure for Photovoltaic
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Power Electronics and Drive Systems, 2014, vol. 4, no 4, p. 489.
[5] Liu,
F., Kang, Y., Zhang, Y., & Duan, S. (2008, June). Comparison of P&O
and hill climbing MPPT methods for grid-connected PV converter. In
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