Energy Optimization in Detumbling Mode of Cubesat Based on Genetic Algorithm

One of the challenges in cubesat with the dimensions of three units and smaller is the optimization of electrical energy consumption. This can be achieved by optimizing the execution time of the main mods to complete the mission. In this article, using the genetic algorithm optimization tool, an optimal function for the duration of the detumbling operational mode - which plays the most important role in energy consumption due to its long duration - is presented, according to which the energy consumption will be minimized for the mission. By estimating the duration of the detumbling mode according to the initial speed of the satellite, a suitable estimate of the total duration of the satellite mission scenario is available, and with the aim of minimizing the energy, the mission can be executed at the right time (running the anti-jamming mode and then the targeting mode). This method will be implemented in three steps: in the first step, according to different initial angular velocity conditions, the detumbling mode will be implemented and its time data will be collected. In the second step, using the available data bank and genetic optimization algorithm, the best function will be fitted to the data bank. Finally, in the third step, this function will be executed and the results will be checked and analyzed.