基于FAHP权重驱动LoRA的自转旋翼机扩散模型定向设计

佗卫涛; 杨明; 李艺博

doi:10.19554/j.cnki.1001-3563.2026.14.002

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (14) : 14-26. DOI: 10.19554/j.cnki.1001-3563.2026.14.002

专题：航空装备人因工程与工业设计创新

基于FAHP权重驱动LoRA的自转旋翼机扩散模型定向设计

佗卫涛^*, 杨明, 李艺博

作者信息 +

Directional Design of Autogyro Diffusion Models Based on FAHP Weight-driven LoRA

TUO Weitao^*, YANG Ming, LI Yibo

Author information +

文章历史 +

摘要

目的针对现有AIGC方法在复杂航空装备外饰设计生成中存在设计参数难以调控、风格偏移及结构失真的问题,探索一种基于设计意图量化驱动LoRA的扩散模型定向生成方法,实现从“随机生成”到“参数化精准生成”的转变。方法运用FAHP量化设计需求权重并映射为LoRA强度参数,实现语义可控驱动;采用“语义避让”策略抑制多风格融合冲突,结合ControlNet施加几何约束以降低结构失真,并在ComfyUI平台构建Flux.1生成工作流。结果生成的自转旋翼机方案在结构逻辑与语意一致性上优于传统方法。消融实验及专家评审显示,方案与需求匹配度高,无明显语义冲突,设计效率显著提升。经三维重建与油泥模型验证,方案在实体化中保持了主要造型特征与结构比例,证实了工程落地可行性。结论 FAHP能有效表征设计意图重要性,配合权重映射、语义避让与双约束网络,协同解决了多风格融合冲突及结构稳定性问题,实现了参数化精准驱动,显著提升了航空装备研发中AIGC辅助设计的可控性与效率,为同类复杂产品工业设计提供了可量化的方法参考。

Abstract

The work aims to explore a directional design method for diffusion models driven by quantified design intents to realize the transformation from "random generation" to "parametric precise generation" and address the challenges of uncontrollable parameters, style deviation, and structural distortion in existing AIGC-based exterior design for complex aviation equipment. By employing the FAHP (Fuzzy analytic hierarchy process) to quantify design requirement weights and mapping them to LoRA strength parameters, semantic controllable driving was achieved. A "semantic avoidance" strategy was introduced to suppress multi-style fusion conflicts, combined with a ControlNet dual-constraint network to minimize structural distortion within a Flux.1 workflow on the ComfyUI platform. Results showed that the generated autogyro schemes significantly outperformed traditional AIGC methods in structural logic and semantic consistency. Ablation experiments and expert reviews showed high requirement matching without evident semantic conflicts. The design efficiency was significantly enhanced. Further validation through 3D reconstruction and clay modeling confirmed that the schemes maintained core aesthetic features and structural proportions, proving engineering feasibility. In combination with weight mapping, semantic avoidance, and dual-constraint networks, FAHP can effectively resolves fusion conflicts and structural instability, enabling parametric precision driving, significantly enhancing the controllability and efficiency of AIGC-assisted design in the research and development of aviation equipment, and providing a quantifiable methodological reference for the industrial design of complex products.

导出引用1

佗卫涛, 杨明, 李艺博. 基于FAHP权重驱动LoRA的自转旋翼机扩散模型定向设计[J]. 包装工程. 2026, 47(14): 14-26 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.002

TUO Weitao, YANG Ming, LI Yibo. Directional Design of Autogyro Diffusion Models Based on FAHP Weight-driven LoRA[J]. Packaging Engineering. 2026, 47(14): 14-26 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.002

中图分类号： TB472

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