关键词: 飞行器, 连接箍带, 参数化建模, 响应面方法, 改进差分进化算法, 多目标协同优化

Abstract: With the evolution of modern warfare paradigms, the operational deployment of multiple unmanned aerial vehicles (UAVs) carried by a mother aircraft platform over long distances has emerged as a novel combat approach. In the mother-child platform system composed of the mother aircraft and its subsystem UAVs, the connecting strap, serving as the core load-bearing component linking the mother platform and subsystems,directly impacts combat effective-ness and mission safety through its performance and reliability. Addressing the resonance risks induced by random vibrations during carrier aircraft flight, this study conducted optimization design by integrating parametric modeling, finite element analysis, response surface methodology, and an improved differential evolution algorithm for multi-objective collaborative optimization. Innovatively combining response surface methodology with the enhanced differ-ential evolution algorithm, this research transformed complex engineering challenges into quantifiable mathematical models through high-precision stochastic response surface modeling. Leveraging the global optimization capability of the improved differential evolution algorithm, the study overcame limitations of conventional methods, achieving signif-icant improvements in optimization efficiency and computational accuracy. Optimization results demonstrated a 15% reduction in structural stress of the connecting strap, substantially enhancing structural reliability. The modal shift rate increased by nearly 30%, dramatically mitigating resonance risks, while achieving a 30% mass reduction. This ac-complished the organic integration of stress reduction, resonance suppression, and structural lightweighting. The final optimized design solution for the mother-child platform connecting strap showed less than 5% relative error between model predictions and simulation test values. This research provides an effective technical pathway for enhancing the performance of aircraft mother-child platforms, with its methodology and conclusions offering valuable references for optimization design of similar aerospace equipment.

Key words: Aircraft, Connecting band, Parametric modeling, Response surface methodology, Improved differential evolution algo-rithm, Multi-objective collaborative optimization