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基于多重置信度优化的尾座式无人机共轴双旋翼气动设计

张威 赵洪 徐明

航空学报2026,Vol.47Issue(4):31-41,11.
航空学报2026,Vol.47Issue(4):31-41,11.DOI:10.7527/S1000-6893.2025.32261

基于多重置信度优化的尾座式无人机共轴双旋翼气动设计

Aerodynamic design of coaxial rotor for tailsitter UAV based on multi-fidelity optimization

张威 1赵洪 1徐明1

作者信息

  • 1. 中国直升机设计研究所,景德镇 333000
  • 折叠

摘要

Abstract

The aerodynamic optimization design of coaxial rotor for tailsitter UAV faces challenges in balancing mul-tiple flight modes and addressing complex aerodynamic interference between rotors.To address these challenges,this study establishes a high-fidelity aerodynamic model based on a hybrid Viscous Vortex Particle Method(VVPM)and Vortex-In-Cell(VIC)approach.A multi-fidelity Bayesian optimization strategy is designed to balance computa-tional costs and accuracy for rotor aerodynamic performance.By treating rotor hover power and forward-flight power as dual optimization objectives,a Pareto optimal solution set for the coaxial rotor design is derived.Flow-field analysis reveals that the hover-optimized design employing mid-span wide chord and gradient twist configurations effectively suppresses blade tip vortex development and enhances hover efficiency.The forward-flight optimized design utilizes inner-span increasing chord and high-gradient twist designs to mitigate forward-flight blade tip vortices and profile drag power and improve propulsive efficiency,yet induces premature vortex roll-up and reduces performance in hover.A balanced optimization design,harmonizing chord gradient and twist angle distributions,synergistically balances hover/forward-flight aerodynamic performance,overcoming limitations of single-condition optimization.

关键词

尾座式/共轴双旋翼/黏性涡粒子方法/贝叶斯优化/优化设计

Key words

tailsitter/coaxial rotor/viscous vortex particle method/Bayesian optimization/optimization design

分类

航空航天

引用本文复制引用

张威,赵洪,徐明..基于多重置信度优化的尾座式无人机共轴双旋翼气动设计[J].航空学报,2026,47(4):31-41,11.

航空学报

1000-6893

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