چکیده مقاله
Low Earth orbit small satellites are exposed to dynamic space weather conditions that can affect spacecraft charging, attitude determination, communication links, orbit prediction, atmospheric drag, power operations, and mission availability Although space weather monitoring products are widely available, they are often not directly integrated into small satellite systems engineering and operational decision making frameworks This paper proposes a space weather aware resilience engineering framework for LEO small satellite operations using solar wind and geomagnetic risk indicators The proposed method converts environmental indicators such as planetary K index, interplanetary magnetic field Bz, solar wind speed, proton density, and F10 7 solar radio flux into an Operational Space Weather Risk Index, R_SW The risk index is mapped to spacecraft operational states, including Normal, Watch, Caution, Degraded, and Safe Mode A representative LEO small satellite mission is used as a case study to demonstrate how environmental data can be linked to operational responses such as payload duty cycle reduction, communication window prioritization, orbit prediction updates, enhanced telemetry monitoring, battery margin protection, and safe mode transition A runnable Python implementation, a sample space weather dataset, risk index outputs, state distribution tables, and publication ready figures are provided The framework creates a practical digital thread between heliophysics data products and systems engineering based mission resilience for early phase mission design and operation planning
کلیدواژهها
نویسندگان
شیوه ارجاع
Ali Nezhad, Mostafa Mohammad,1405,Space Weather Aware Resilience Engineering Framework for LEO Small Satellite Operations Using Solar Wind and Geomagnetic Risk Indicators,31th National Conference on Electrical, Computer and Mechanical Engineering,Shirvan
ارائهشده در
مجموعه مقالات سی و یکمین کنفرانس ملی مهندسی برق، کامپیوتر و مکانیک30 تیر 1405 · شیروان