A Simulation Platform for Flapping-Wing Vehicles

2026-06-01

AI Summary

Flapping-wing aerial vehicles (FWAVs) face significant challenges in developing robust autonomous systems due to their aerodynamic sensitivity and payload constraints, which are inadequately captured by existing simplified simulation platforms. This work proposes FWAV-Sim, a high-fidelity Unity-based simulation framework that, for the first time, integrates quasi-steady blade-element aerodynamics with bluff-body drag modeling, generates spatiotemporally coherent turbulence using fractal noise, and simulates multimodal sensor outputs—including noisy IMU data, LiDAR point clouds, and RGB images. By substantially narrowing the reality gap, FWAV-Sim enables perception and control policies trained entirely in simulation to exhibit exceptional transfer performance to real-world deployment, thereby advancing simulation-driven development for flapping-wing flight.

Abstract

Flapping-wing aerial vehicles (FWAVs) demonstrate remarkable agility but face substantial autonomy challenges due to their high sensitivity to aerodynamic disturbances and limited sensor payload capacity. Current simulation platforms typically rely on oversimplified laminar flow assumptions and idealized sensor models, failing to capture the complex turbulence patterns and perceptual limitations encountered in real-world operation. This simulation-to-reality discrepancy significantly impedes the development of robust autonomy systems for FWAVs. We introduce FWAV-Sim, a high-fidelity Unity-based simulation framework that integrates: (1) a composite aerodynamic model combining quasi-steady blade-element theory with bluff-body drag effects, (2) spatiotemporally correlated turbulence generation through fractal noise synthesis, and (3) realistic sensor simulation including noisy IMU measurements, LiDAR point clouds, and RGB camera feeds. Our platform enables scalable generation of synchronized datasets containing ground-truth vehicle states, aerodynamic forces, turbulent wind fields, and multi-modal sensor streams. Experimental validation demonstrates that autonomy pipelines (including both controllers and perception systems) developed in FWAV-Sim exhibit significantly improved simulation capability, thereby advancing the outstanding performance in simulation-based development for flapping-wing aerial systems.

Problem

• flapping-wing aerial vehicles
• simulation-to-reality gap
• aerodynamic disturbances
• sensor limitations
• turbulence modeling

Innovation

• flapping-wing aerial vehicles
• high-fidelity simulation
• composite aerodynamic model
• spatiotemporally correlated turbulence
• realistic sensor simulation