Xiaojun Zhang

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About

Xiaojun Zhang is a researcher whose work centers on electromagnetic interference and magnetic field analysis in underwater robotic systems. His key contributions lie in understanding and mitigating the leakage magnetic fields generated by high-power brushless DC motors (BLDCMs), which can distort geomagnetic measurements critical for underwater navigation and cruise operations. Using advanced simulation tools like COMSOL Multiphysics, Zhang has modeled these interference patterns to improve the accuracy of magnetic sensors deployed on autonomous underwater vehicles (AUVs). His most cited paper, "Leakage magnetic field of BLDCM based on Comsol multiphysics" (2017), has garnered 3 citations, establishing a foundational approach for quantifying electromagnetic noise from onboard electronics. This work addresses a practical challenge in marine robotics: isolating sensitive geomagnetic readings from the strong electromagnetic interference produced by large-scale equipment. Zhang’s research is particularly relevant for engineers designing low-interference propulsion systems and for scientists relying on precise magnetic field data in oceanographic surveys. By bridging simulation and real-world application, his studies contribute to the reliability of underwater robots in complex electromagnetic environments.