Solar powered UAV mainly relies on solar energy for range, it uses photovoltaic
cells to convert solar radiant energy into electric energy for the use of solar
powered UAV energy system. In response to the issue of solar powered UAV
photovoltaic power supply energy utilization efficiency, an intelligent sliding
mode based MPPT control method is proposed to maximize the output power of
photovoltaic power supply. Firstly, introduce and analyze the photovoltaic cell
model and its output characteristics; Secondly, the DC/DC converter and its MPPT
control technology are introduced. Traditional MPPT control methods such as
perturbation and observation and incremental conductance have poor adaptability
to external environmental changes, the intelligent algorithm has the
characteristics of fast rate of convergence and global search, etc. Therefore,
on the basis of sliding mode control, this article introduces genetic algorithm
for multi-objective function parameter tuning of sliding mode control law,
forming an intelligent sliding mode MPPT control method based on genetic
algorithm, which has good adaptability; Finally, three control strategies for
photovoltaic power supply MPPT control of solar powered UAV are simulated and
analyzed in the MATLAB environment, the simulation results show that all three
control strategies can achieve good tracking performance when external
environmental conditions change, Among them, intelligent sliding mode control
has obvious anti-interference ability, achieving the fastest steady-state
response speed, the smallest steady-state oscillation amplitude, and the
shortest steady-state oscillation time. Overall, its tracking effect is the
best, and it can effectively achieve MPPT control of solar powered UAV
photovoltaic power supply.