导航

Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (15): 630203-630203.doi: 10.7527/S1000-6893.2024.30203

• special column • Previous Articles    

Nonlinear characterization modeling and dynamic performance accurate prediction of aerospace electromechanical actuator

Menglong JIANG1,2,3, Jian FU1, Yinan LIU2,3, Mingwei SUN1, Yuping HUANG2,3, Zhiyuan YU2,3()   

  1. 1.School of Mechanical Engineering and Automation,Beihang University,Beijing  100191,China
    2.Laboratory of Aerospace Servo Actuation and Transmission,Beijing Institute of Precision Mechatronics and Controls,Beijing  100076,China
    3.Innovation Center for Control Actuators,Beijing  100076,China
  • Received:2024-01-20 Revised:2024-02-15 Accepted:2024-03-06 Online:2024-04-23 Published:2024-04-19
  • Contact: Zhiyuan YU E-mail:zhiyuan.yu@lasat.com
  • Supported by:
    National Natural Science Foundation of China(92371101);The Fundamental Research Funds for the Central Universities(YWF-23-L-911)

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.

Key words: electro-mechanical actuators, multi-physical domain coupling, incremental non-linear modeling, model-based system engineering, thrust vector control

CLC Number: