Abstract
In this paper, an approach of designing a fast tracking
MPPT is introduced using a predicted sixth order polynomial
curve fitting MPPT technique. The results are compared with the
lower order polynomials curve fitting MPPT and also compared
with the Artificial Neuro-Fuzzy Inference System (ANFIS) results.
The polynomials were generated from an offline solar data. This
work was done to validate the effect of using a higher order
polynomials under various weather conditions using modified
CUK DC-DC converter. Findings suggest that using the 6th order
polynomial curve fitting and the ANFIS techniques could track the
highest maximum power point than the lower order curve
techniques.