Review of Hybrid MPPT Algorithms for Improved Solar Energy Extraction in Low Earth Orbit ^†

The solar energy generation in Low Earth Orbit is experiencing rapid periodic fluctuations in irradiance and temperature due to orbital motion, eclipse transitions, and thermal cycling. All these conditions significantly affect the efficiency of conventional system algorithms. The hybrid MPPT strategies that combine classical methods and intelligent controllers have promised a good solution for improving tracking speeds, reducing steady-state oscillations, and increasing energy extraction under high variation conditions. This paper presents a structured review of hybrid MPPT algorithms suitable for LEO applications under these control strategies, Incremental-Artificial Neural Network (INC-ANN) and Perturb & Observe-Fuzzy Logic Control (P&O-FLC). The review highlights their advantages, limitations, computational specifications, and suitability for LEO solar power subsystems. This work forms an ongoing study since the simulation of this subsystem is not yet available. This paper aims to establish the technical foundation and methodology direction for the future implementation and evaluation of hybrid MPPT techniques under simulated LEO conditions.