Model-Reference Adaptive Flight Control of the 95-mg Bee++
arXiv:2605.085251.8
Predicted impact top 78% in RO · last 90 daysOriginality Synthesis-oriented
AI Analysis
For researchers in micro aerial vehicles, this work provides a practical adaptive control solution for insect-scale flapping-wing robots, though it is an incremental application of existing MRAC methods.
This paper presents a model-reference adaptive control (MRAC) architecture for the Bee++, a 95-mg insect-scale flapping-wing aerial vehicle, achieving high-performance positional tracking in real-time flight experiments.
We introduce a model-reference adaptive control (MRAC) architecture for high-performance positional tracking of the Bee++, a 95-mg insect-scale flapping-wing aerial vehicle. The suitability, functionality, and high performance of the proposed approach are demonstrated using data from real-time flight experiments.