The invention discloses a
laser wireless energy transfer dynamic MPPT control method based on an RL-PSO
hybrid algorithm and a
reconfigurable array system, and aims to solve the problems of
power oscillation and
mismatch loss caused by
light spot offset of a photovoltaic array under
laser dynamic
irradiation. According to the method,
reinforcement learning (RL) and
particle swarm optimization (PSO) are fused, dynamic parameters such as the
light spot moving speed and
irradiance are sensed in real time through the RL, the
inertia weight and learning factors of the PSO are adjusted in a self-adaptive mode, and collaborative optimization of global search and local tracking is achieved. According to the
system level, a reconfigurable photovoltaic array is designed, and according to data of a
light spot position sensor, battery series-parallel topology is dynamically adjusted through a
switch matrix, and current matching is optimized. According to the method, double-
loop control is adopted, wherein an outer-layer RL decision module dynamically switches PSO working
modes according to the environment, and an inner-layer PSO module optimizes the working
voltage. The
system efficiency in a dynamic scene can be improved by 15%-30%,
mismatch loss is reduced by 40% or above, and the method is suitable for unsteady-state
energy supply scenes such as unmanned aerial vehicles and mobile robots.