Abstract
To achieve the continuous surveillance capable multirotor type solar-powered unmanned aerial vehicle (UAV), we develop the photovoltaic power management system (PPMS) which manages power from photovoltaic (PV) modules and a battery pack to support the power of the UAV. To estimate the possible flight time of the UAV, we use the concept of state of charge (SOC) estimation based on the extended Kalman filter (EKF) and complementary filter (CF) and then calculate the possible flight time by using the slope of the SOC graph during hovering flight mode. According to the results, estimated flight time increases up to 54.14 min at 11:00 a.m. and decreases down to 6.70 min at 18:00 p.m.
Highlights
As unmanned aerial vehicles (UAV) become popular, various methods for extending the flight time have been studied
Alongside the previously listed efforts to improve the sustainability of the solar-powered UAV, the main contribution of this paper is the development of a photovoltaic power management system (PPMS), which allows a small UAV to receive power from solar panels installed on the ground and so be able to hover for a long time
For the maximum energy capture using PV modules and enhancement of the PV module’s lifetime, various maximum power point tracking (MPPT) techniques have been developed which are mainly divided into three categories: offline, online, and hybrid methods [6]
Summary
As unmanned aerial vehicles (UAV) become popular, various methods for extending the flight time have been studied. REVIEW technique is important to further improve the efficiency2of of PPMS, ofPEER the MPPT we exclude this part and focus more on the PPMS hardware design and the technique to analyze the implementation capability, fast convergence speed, no required prior training, and high efficiency possible flight time of the UAV based on the SOC calculation. Harmon et al developed the parallel hybrid-electric to power the small long-endurance UAV using an active power management method to propulsion system using a rule-based controller and showed the overall energy consumption could be maintain a target state of charge (SOC) of batteries of 45% [8]. UAV but management computer most of them are vulnerable to the wind as the weight of the UAV is too light and most of the test is aindoors sparse number of altitudes attempts to develop the long endurance multirotor UAV but flights areThere performed or at low outside.
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