2025 PDIV Prediction and Tests on the Insulation for Aerospace Electro-Hydrostatic Actuator (EHA) Motors

The flight control system is critical for ensuring aircraft safety and precise maneuverability, and the ElectroHydrostatic Actuator (EHA) system represents a key technology for future more-electric and all-electric aircraft. This study takes a 270 V random-wound motor as the research object and establishes three-dimensional electrostatic field models of turn-to-turn, phase-to-phase, and main insulation using physical field simulation software. Electric field distributions and Partial Discharge Inception Voltage (PDIV) under various insulation gap sizes are analyzed by applying Paschen's law. The results indicate that the errors between measured and predicted PDIV values are within 15%, providing valuable guidance for insulation design, optimization, and reliability evaluation of EHA motors.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/eic63069.2025.11123268
Primary Topic
Real-time simulation and control systems
Type
article
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2025 PDIV Prediction and Tests on the Insulation for Aerospace Electro-Hydrostatic Actuator (EHA) Motors

Shijin Ma, Yingwei Zhu, Dongdong Zhao, Peng Wang et al.
Real-time simulation and control systems
article

2025 PDIV Prediction and Tests on the Insulation for Aerospace Electro-Hydrostatic Actuator (EHA) Motors

Shijin Ma, Yingwei Zhu, Dongdong Zhao, Peng Wang, Lei Zhou, Wenqian Zhang
article en

Abstract

The flight control system is critical for ensuring aircraft safety and precise maneuverability, and the ElectroHydrostatic Actuator (EHA) system represents a key technology for future more-electric and all-electric aircraft. This study takes a 270 V random-wound motor as the research object and establishes three-dimensional electrostatic field models of turn-to-turn, phase-to-phase, and main insulation using physical field simulation software. Electric field distributions and Partial Discharge Inception Voltage (PDIV) under various insulation gap sizes are analyzed by applying Paschen's law. The results indicate that the errors between measured and predicted PDIV values are within 15%, providing valuable guidance for insulation design, optimization, and reliability evaluation of EHA motors.

Sichuan University (CN), Chengdu University of Information Technology (CN), Chengdu University (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Real-time simulation and control systems
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2025 PDIV Prediction and Tests on the Insulation for Aerospace Electro-Hydrostatic Actuator (EHA) Motors — Shijin Ma, Yingwei Zhu, et al. · (2025) | TGRS Research Map | TGRS