This chapter compares two MPPT algorithms—Conservative MPP and Fast
Terminal Sliding Mode Controllers (FTSM)—under consistent partial shading
conditions. Methods include Artificial Neural Networks (ANNs), Fuzzy Logic (FL),
and FTSM MPPT. FTSM algorithms may be applied in partly shadowed situations on a
global MPP. This study proposes an FTSM technique that, when employed, establishes
the efficient FTSM controller settings such that the global maximum PV device, power
point, is monitored while partly shaded. It is designed in MATLAB for dynamically
changing shadow patterns, as evidenced in its setup and test performance. ANN, (FL),
and FTSM are compared in the findings. A less accurate method for measuring the
global MPP has been found. The following strategies are compared in a solar array
under partial shade situations. Nonlinear experimental effects justify the model's
control strategy and stability analysis.
Keywords: FTSMC, Interleaved boost converter, Microprocessor, Maximum power point tracking, Photovoltaic.
