Collaborative Calculation Technology of AC Power Supply Characteristic Parameters for Civil Aircraft

To enhance the computational efficiency in determining the characteristic parameters of AC power supplies for civil aircraft, we employ parallel collaborative computing technology leveraging both GPU and CPU capabilities. This approach targets the time-intensive primary and secondary power supply characteristic parameters involved in processing AC power supply test data for civil aircraft, encompassing distortion, distortion coefficient, distortion spectrum, voltage DC component, steady-state AC voltage, peak coefficient, voltage transient, voltage imbalance, voltage modulation amplitude, voltage phase difference, steady-state frequency, frequency modulation amplitude, and collaborative calculations to expedite the processing. When compared to relying solely on CPUs for processing, the implementation of parallel collaborative computing technology achieves a remarkable 7–26 times acceleration in processing speed with the same data volume. This significant improvement offers vital technical support for enhancing the airworthiness certification efficiency of civil aircraft. Furthermore, this methodology can be extended and applied to the analysis of operational conditions within other aircraft power systems.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878608
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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Collaborative Calculation Technology of AC Power Supply Characteristic Parameters for Civil Aircraft

Chenfeng Fu, Ruizhen Song, Hongxiang Zhu, Chenli Ji
Engineering Diagnostics and Reliability
article

Collaborative Calculation Technology of AC Power Supply Characteristic Parameters for Civil Aircraft

Chenfeng Fu, Ruizhen Song, Hongxiang Zhu, Chenli Ji
article en

Abstract

To enhance the computational efficiency in determining the characteristic parameters of AC power supplies for civil aircraft, we employ parallel collaborative computing technology leveraging both GPU and CPU capabilities. This approach targets the time-intensive primary and secondary power supply characteristic parameters involved in processing AC power supply test data for civil aircraft, encompassing distortion, distortion coefficient, distortion spectrum, voltage DC component, steady-state AC voltage, peak coefficient, voltage transient, voltage imbalance, voltage modulation amplitude, voltage phase difference, steady-state frequency, frequency modulation amplitude, and collaborative calculations to expedite the processing. When compared to relying solely on CPUs for processing, the implementation of parallel collaborative computing technology achieves a remarkable 7–26 times acceleration in processing speed with the same data volume. This significant improvement offers vital technical support for enhancing the airworthiness certification efficiency of civil aircraft. Furthermore, this methodology can be extended and applied to the analysis of operational conditions within other aircraft power systems.

Zhongji Test Equipment (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Engineering Diagnostics and Reliability
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Collaborative Calculation Technology of AC Power Supply Characteristic Parameters for Civil Aircraft — Chenfeng Fu, Ruizhen Song, et al. · (2024) | TGRS Research Map | TGRS