考虑局部遮挡的太阳能无人机能源控制

Aiming at the partial shading conditions of solar cells that may occur in the flight state of solar powered UAVs, the corresponding solar cell maximum power point tracking algorithm and energy control research are carried out. The firefly algorithm is improved by introducing the illuminance into the relative attraction calculation process, achieving the efficient tracking of the maximum power point of the solar cell under the partial shading conditions. Based on this, a solar cell/battery hybrid energy state machine control rule for solar-powered UAVs considering the partial shading conditions is designed. Taking the "Dandelion I" solar-powered UAVs as an example, a solar array model is established, and the maximum power point tracking simulation test of solar cells under the partial shading conditions is carried out. Based on the "Dandelion I" flight profile, a hybrid energy control simulation experiment considering the partial shading conditions was carried out. The results show that the improved firefly algorithm can effectively track the maximum power point of the solar cell under the partial shading conditions, effectively shortening the convergence time and the power fluctuation range compared with the firefly algorithm. With improved firefly algorithm and state machine energy management strategy, reasonable power allocation control between solar cells and batteries can be achieved in the flight state considering shadows.