This paper proposes the study of the lightweight dynamic algorithm of a power management for a small LEO-orbit satellite application such as CubeSat. The proposed work was designed in connection with a rule-based decision method and real-time scheduling. Here, the functional payloads of the satellite tasks were considered consisting of an electric power unit, attitude controller module, and environmental space system. The main system functions of the satellite operation were scheduled at the work process and the scheduling of the mission tasks were based on decision-making rules. It shows that the lightweight dynamic algorithm was aimed to optimize the efficiency and performance. The study of the proposed work was based on a simulation to understand the energy behavior and also consider the task priority.
The novel dynamic algorithm was proposed in order to deal with the power condition and distribution modules. It allows the strategy of a power management depending on a linear decision rule approach. The factors of power management consist of a design of the state of charge (SoC) of batteries and the consumption characteristics of the payload satellite interfaces. The energy profile was modeled according to the LEO operation based on the orbital period. The satellite payloads were concerned energy budgets including a telecommunication, attitude controller and functional loads in action. As a result, the efficiency and performance of battery can contribute to the lifespan of a satellite, and also design of a miniaturized satellite.