Adaptive fuzzy controller
based MPPT for photovoltaic systems
ABSTRACT:
This
paper presents an intelligent approach to optimize the performances of
photovoltaic systems. The system consists of a PV panel, a DC–DC boost
converter, a maximum power point tracker controller and a resistive load. The
key idea of the proposed approach is the use of a fuzzy controller with an
adaptive gain as a maximum power point tracker. The proposed controller
integrates two different rule bases. The first is used to adjust the duty cycle
of the boost converter as in the case of a conventional fuzzy controller while
the second rule base is designed for an online adjusting of the controller’s
gain. The performances of the adaptive fuzzy controller are compared with those
obtained using a conventional fuzzy controllers with different gains and in
each case, the proposed controller outperforms its conventional counterpart.
KEYWORDS
1. PV
panel
2. Adaptive
fuzzy controller
3. Output
scaling factor
4. Fuzzy
rules
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.1.Block
diagram of the adaptive fuzzy controller.
EXPECTED SIMULATION RESULTS:
Fig.
2.Comparative study under changing atmospheric conditions.
CONCLUSION:
In
this work, an adaptive fuzzy controller is used to track the maximum power
point in photovoltaic systems. The gain of the controller is adjusted online by
fuzzy rules defined on error and change of error. Simulation results show that
the proposed controller can track the maximum power point with better
performances when compared to its conventional counterpart. Thus the
introducing of an adaptive gain in the structure of conventional fuzzy controllers
is well justified.
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