Protection From Indirect Lightning Effects for Power Converters in Avionic Environment: Modeling and Experimental Validation

Rimal, Hari Prasad; Reatti, Alberto; Corti, Fabio; Lozito, Gabriele Maria; Antonio, S. Quondam; Faba, A.; Cardelli, E.

doi:10.1109/tie.2020.3013794

Cited by 14 publications

(2 citation statements)

References 25 publications

(30 reference statements)

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“…Phenomena like solar flares and lightning represent ubiquitous natural interference risks across flight domains. Studies have shown induced transient currents and voltages from lightning exceeding thresholds for upsetting digital logic or even permanently damaging inadequately hardened avionics [27]- [29]. Human-made interference sources similarly span communications infrastructure like radio towers, radar installations, and satellite microwave downlinks which can unintentionally couple EMI into vehicle receivers operating at overlapping frequencies during overflight.…”

Section: B Environmentalmentioning

confidence: 99%

UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

Jim Hassan,

Jangula,

Ramchandra

et al. 2024

IEEE Access

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Unmanned aerial systems/vehicles (UAS/UAVs) are widely employed for inspecting highvoltage (HV) Tx lines, characterized by elevated electric (E) and magnetic (H) fields. Operating on batteries, these UAVs are equipped with various electrical sensors, microprocessors, and motors, all susceptible to E/H field effects. This paper explores the distribution of E/H fields in multiple HVTx lines and a microwave tower. Data was collected from one 250kV DC , four AC Tx lines (69kV, 230kV, 345kV, and 500kV), and one microwave tower, utilizing DJI UAVs (M2EA, M30, and M300) equipped with onboard setups. Measurements included E field in V/m, H field in mG, Battery voltage in V, Battery current in A, Battery percentage, Battery Temperature in F, latitude, and longitude. Preliminary findings highlight larger E/H field levels within AC Tx lines than DC Tx lines. The paper discusses conditions influencing E/H field strength during UAV operation. Additionally, a proposed multi-staged random forest regressor (RFR) and k-nearest neighbor (KNN) hybrid machine learning (ML) model forecasts UAV battery drain. Results indicate that the hybrid RFR and KNN model yields lower MAPE values compared to standalone models. INDEX TERMS Battery, electric field, hybrid model, KNN regressor, machine learning, magnetic field, power drain, random forest regressor, transmission lines, unmanned aerial vehicle.

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Section: B Environmentalmentioning

confidence: 99%

UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

Jim Hassan,

Jangula,

Ramchandra

et al. 2024

IEEE Access

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show abstract

“…Based on the conducted analysis, five distinct topologies were designed for high-power microwave (HPM) protection. In [13], a dc-dc pulse-width modulation buck-boost converter was safeguarded against lightning's indirect effects through the implementation of a metal oxide varistor and a series inductive blocking element. A protection circuit was devised by integrating iron core inductors and metal oxide varistors to provide protection against indirect lightning effects in avionic environments [14].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Indirect Lightning Effects on Low-Noise Amplifier and Protection Design

Ma,

Liu,

Duan

et al. 2023

Electronics

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In order to analyze the interference mechanisms of indirect lightning effects on a low-noise amplifier (LNA), a circuit model of the LNA was constructed based on the advanced design system 2020 (ADS 2020) software. Lightning pulse injection simulations were conducted to explore the influence of lightning pulses on the performance of the LNA. A pin injection test was performed to investigate the interference and damage threshold of the LNA. A protective circuit incorporating the transient voltage suppressor (TVS) and Darlington structure was designed through simulation, employing the ADS 2020 for the LNA. The research findings reveal that the interference threshold for the LNA is 60 V, while the damage threshold is determined to be 100 V. The protective circuit demonstrates a measured insertion loss of 0.1 dB, a response time of 1.5 ns, and a peak output voltage of 20 V. The research results indicate that the protective circuit can effectively reduce the impact of lightning’s indirect effects on the LNA. In the future, we will continue the design work of the protective circuit and proceed with physical fabrication and experimental validation.

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Numerical simulations of vector hysteresis processes via the Preisach model and the Energy Based Model: An application to Fe-Si laminated alloys

Antonio

Ghanim

Faba

et al. 2021

Journal of Magnetism and Magnetic Materials

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Protection From Indirect Lightning Effects for Power Converters in Avionic Environment: Modeling and Experimental Validation

Cited by 14 publications

References 25 publications

UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

Analysis of Indirect Lightning Effects on Low-Noise Amplifier and Protection Design

Numerical simulations of vector hysteresis processes via the Preisach model and the Energy Based Model: An application to Fe-Si laminated alloys

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