Abstract:
This research paper proposes to present an
adaptive neuro fuzzy inference system and proportional
integral controller based maximum power point tracking
algorithm for solar powered brushless dc motor in order
to facilitate water pumping applications. Adaptive neuro
fuzzy inference with PI controller provides control gain to
maximum power point tracker. It adjusts the duty cycle of
the zeta converter for extracting maximum power from
solar PV array. The performance of proposed controller
is compared with the conventional perturb and observe
method, fuzzy perturb and observe method and
incremental conductance method. Simulation studies are
carried out in MATLAB. The experimental verification is
shown to prove the suitability and feasibility of the
proposed controller. The results reveal that the adaptive
fuzzy inference system with PI controller can quickly
track maximum power from solar PV array under
different irradiance.
