HelmholtzSim demonstrates effective use of genetic algorithms for optimizing magnetometers in microsatellites, suggesting advancements in simulation software design.
The design and validation of Attitude Determination and Control Systems (ADCS) for microsatellites require high-fidelity simulation environments, particularly for components like magnetorquers and magnetometers. HelmholtzSim is an open-source Python package developed for the simulation and optimization of Helmholtz cages, enabling accurate hardware-in-the-loop (HIL) validation of ADCS components. The software leverages the Biot–Savart law for parallelized magnetic field calculations, integrates genetic algorithms for coil design optimization, and supports mission simulation using Two-Line Element (TLE) data. Additionally, it provides integrated 2D and 3D visualization tools. This paper details the architecture, functionalities, and applications of HelmholtzSim, presenting it as a cost-effective and accessible alternative to commercial electromagnetic simulation software.
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Yanyachi et al. (2025) studied this question.
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