Modelling and simulation of the cube satellite power systems

2022FEBEREC-STD-~047

The data is for mathematical modelling of the 3G30C AZURE SPACE CubeSat PV module using a two resistor-one diode model in MATLAB/Simulink. Two 3G30C AZURE SPACE modules fit on one out of four adjacent body sides of the CuceSAT. The top and the bottom sides are fitted with SPECTRLAB PV modules. The boost converter model is simulated for the worst-case scenario where only two adjacent body sides are exposed to the sun. Hence, only four AZURE SPACE modules are connected in parallel to form a 4x1 array, which supplies power to the boost converter. The boost converter specification data is given in Table 2.1, and the calculated component values are given in Table 2.2. This research project focuses on improving PV efficiency by optimising solar power generation through advanced Maximum Power Point Tracking (MPPT). The perturb and observe (PO) technique was initially tested but showed limitations under rapid environmental changes, causing power output oscillations. To address this, I explored AI-driven methods like Particle Swarm Optimisation (PSO) and developed a novel hybrid PO-PSO MPPT function, combining PO’s simplicity with PSO’s global search abilities. Simulations showed that the hybrid function significantly reduces oscillations, improves tracking under varying conditions, and stabilises power output more effectively than traditional techniques, providing a robust solution for CubeSat power management.