Collision Detection and Reaction for Quadrotors Using Encoder-Integrated Tombo Propellers

Hung Tien Pham, Quang Ngoc Pham, Quan Khanh Luu, Giuseppe Loianno, Van Anh Ho

Research output: Contribution to journalArticlepeer-review

Abstract

This study presents a novel collision detection and reaction strategy for quadrotors equipped with deformable propellers (Tombo propellers). By integrating rotary encoders, we achieve real-time monitoring of individual propeller speeds, enabling rapid and reliable collision detection based on sudden velocity drops. The propeller speed variation during collisions is analyzed through simulations of the BLDC motor-Tombo propeller collision model. In addition, experimental validation is performed on a quadrotor to reinforce the correlation between propeller velocity changes and collisions. A collision detection algorithm based on this phenomenon successfully identifies eight out of twelve collisions during hover flights, while the remaining four minor collisions, which were undetected, had negligible effects on quadrotor stability. Subsequently, a collision response strategy that takes advantage of this algorithm for a quadrotor following a pre-defined trajectory is implemented. Experimental results demonstrate that this strategy is successfully applied to the Tombo quadrotor, whereas a quadrotor with rigid propellers fails due to propeller breakage on impact. This highlights the effectiveness of combining Tombo propellers for impact resilience with encoder-based velocity monitoring for reliable collision detection and response, ensuring safer quadrotor operations.

Original languageEnglish (US)
JournalIEEE Access
DOIs
StateAccepted/In press - 2025

Keywords

  • collision reaction strategy
  • deformable propeller
  • drone safety
  • encoder-based collision detection
  • Quadrotor collision detection

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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