Advanced Intelligent Systems (Jan 2023)

An Efficient Multimodal Nature‐Inspired Unmanned Aerial Vehicle Capable of Agile Maneuvers

  • Danial Sufiyan,
  • Luke Soe Thura Win,
  • Shane Kyi Hla Win,
  • Ying Hong Pheh,
  • Gim Song Soh,
  • Shaohui Foong

DOI
https://doi.org/10.1002/aisy.202200242
Journal volume & issue
Vol. 5, no. 1
pp. n/a – n/a

Abstract

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Herein, the development of a multimodal, nature‐inspired unmanned aerial vehicle (UAV) that operates in three different flight regimes (rotor wing, tailsitter, cruise), unlike typical UAVs which only consist of two, is discussed. The platform uses a nature‐inspired method to achieve efficient hover, yet possesses the flexibility to enter a more agile state via additional tailsitter and cruise modes. Both the mechanical configuration and software/control architecture used to achieve three‐mode capability are documented in detail. A sigmoid blending control is implemented as the transition control strategy, consisting of transition coordinators that adjust the weight of each individual controller on the actuator outputs. To improve the transition sequence based on performance goals such as reduced altitude variation and throttle usage, an optimization routine is performed to obtain the optimized blending parameters. The optimized parameters are then experimentally verified on a physical prototype in lab conditions and shown to exhibit at least a 20% improvement for altitude variation and at least 5% less throttle usage across 4 consecutive transitions compared with baseline. Three‐mode capability outdoors in real‐world conditions are also demonstrated in multiple flights. Power draw in rotor‐wing mode is found to be 30% less than in tailsitter mode.

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