TITLE:
Multi-Objective Optimization of Front Landing Gear Impact Based on Multivariate Nonlinear Regression
AUTHORS:
Jiahao Fu, Sen Hu, Bo Shao
KEYWORDS:
Landing Gear, Multivariate Nonlinear Regression, Landing Stress Response, ADAMS-Simulink Coupling
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.15 No.10,
October
27,
2025
ABSTRACT: To address the multicoupling effects of stress response in UAV landing gear during touchdown, this study employs a multivariate nonlinear regression approach for multi-objective optimization design of the UAV nose landing gear. Theoretical analysis of the landing process first identified stress responses relative to shock absorber stiffness, damping coefficient, and strut angle as optimization objectives. Using ADAMS and Simulink co-simulation, landing stress responses under varying parameter combinations were quantified. Subsequently, a multivariate nonlinear regression model derived the analytical solution for minimum stress under the coupled influence of all three factors. Physical prototype landing tests ultimately validated the accuracy of the optimized results. These findings provide a theoretical foundation for designing lightweight yet high-reliability UAV landing gear.