@article{JIANG2024, 
author = {Menglong JIANG and Jian FU and Yinan LIU and Mingwei SUN and Yuping HUANG and Zhiyuan YU},
title = {Nonlinear characterization modeling and dynamic performance accurate prediction of aerospace electromechanical actuator},
year = {2024},
journal = {Acta Aeronautica et Astronautica Sinica},
volume = {45},
number = {15},
pages = {630203},
keywords = {electro-mechanical actuators, multi-physical domain coupling, incremental non-linear modeling, model-based system engineering, thrust vector control},
url = {https://www.sciopen.com/article/10.7527/S1000-6893.2024.30203},
doi = {10.7527/S1000-6893.2024.30203},
abstract = {Aiming at the difficulties in predicting the dynamic performance of aerospace Electro-Mechanical Actuator (EMA) due to the multiple nonlinear coupling of mechanics, electricity, magnetism and controlling, a V-shape requirement model, a multi-level architecture model and an accurate prediction model for EMA in Thrust Vector Control (TVC) are built based on Model-Based System Engineering (MBSE), Analytic Hierarchy Process (AHP) and incremental modeling respectively. The first-level model enables the position enveloping prediction by adjusting motor power and reduction ratio. The second-level model realizes position response prediction and dimension estimation with incremental RL electromagnetic framework and trigonometric kinematic functions. The third-level model constructs the coupling relations of multi-physical domain, and the fourth-level model refines the non-linearity of key parameters which enables accurate prediction of rotating speed and current dynamic response. The prediction accuracy of the multi-level model is verified by three sets of time domain tests. The design instance indicates that the multi-level models under multiple constraints obtain 3.6 times more than the individual fourth-level model with a 50.6% reduction in calculating time. The optimal power-weight ratio reaches 488.95 W/kg, and the phase frequency bandwidth reaches 9.87 Hz, which strongly supports the rapid and accurate iteration of EMA design, and provides a feasible digital transformation practice of rocket system.}
}