QuadGlider: Towards the Design and Control of a Bio-Inspired Multi-Modal UAV with Compliant Wings

被引:0
|
作者
Cao, Pengcheng [1 ]
Phillips, Joseph [2 ]
Bewley, Thomas [1 ]
Kuester, Falko [3 ]
机构
[1] Univ Calif San Diego, Dept Mech Engn, 9500 Gilman Dr, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Math, 9500 Gilman Dr, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Dept Struct Engn, 9500 Gilman Dr, La Jolla, CA 92093 USA
关键词
AIR VEHICLE; FLIGHT; PERFORMANCE;
D O I
10.1109/AERO55745.2023.10115944
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Multirotors have become the most popular UAV or aerial robot category due to their structural simplicity and ability to take off and land vertically. However, most multirotors suffer from short airborne time and range due to limited battery capacity. Thus we propose a novel hybrid multirotor design, QuadGlider, to increase its capability of traveling long distances with minimal battery consumption. QuadGlider is inspired by the body structure and gliding mechanism of gliding animals. The airframe design of QuadGlider imitates flying squirrels' skeletal and muscular structure with implementation of servo motor to actuate its compliant membrane wings. Therefore, it can transition from quadrotor flight mode to forward gliding mode via morphing and lowering motor speeds to save power. In this work, we first present the conceptual design of QuadGlider. Next, we model its flight dynamics in different gliding scenarios. Then, the design is verified in computational fluid dynamics simulations of gliding scenarios with angles of attack of 0 degrees - 30 degrees. At last, preliminary gliding experiments are conducted at low Reynolds numbers of around Re = 4.7 x 10(5). The equilibrium glide simulation gives a maximum glide ratio of 4.27 : 1 at a takeoff velocity of 14.0 m/s, while the experimental result indicates a glide ratio of 2.97 : 1 at a takeoff velocity of 4.17 m/s.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Bio-inspired Design of a Gliding-Walking Multi-modal Robot
    Shin, Won Dong
    Park, Jaejun
    Park, Hae-Won
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 8158 - 8164
  • [2] Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
    Buehler, Markus J.
    ADVANCED FUNCTIONAL MATERIALS, 2024, 34 (49)
  • [3] Jumping Aided Takeoff: Conceptual Design of A Bio-Inspired Jumping-Flapping Multi-Modal Locomotion Robot
    Zhang, Jun
    Dong, Chengcheng
    Song, Aiguo
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 32 - 37
  • [4] A Bio-inspired Compliant Robotic Fish: Design and Experiments
    El Daou, Hadi
    Salumaee, Taavi
    Toming, Gert
    Kruusmaa, Maarja
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 5340 - 5345
  • [5] Mode Transition Control Law Design for a Multi-modal UAV
    Liu, Yang
    Wang, Hua
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 1664 - 1671
  • [6] Bio-inspired Flapping UAV Design: A University Perspective
    Han, Jae-Hung
    Lee, Jun-Seong
    Kim, Dae-Kwan
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2009, 2009, 7295
  • [7] Design and Control of a Bio-Inspired Robot
    Zhao, Mingguo
    Hu, Biao
    BIOMIMETICS, 2024, 9 (01)
  • [8] Towards a bio-inspired design of a photovoltaic facade
    Assoa, Ya Brigitte
    Ratovonkery, Julie
    Menezo, Christophe
    Morlot, Rodolphe
    RENEWABLE ENERGY, 2024, 229
  • [9] A System-of-Systems Bio-Inspired Design Process: Conceptual Design and Physical Prototype of a Reconfigurable Robot Capable of Multi-Modal Locomotion
    Tan, Ning
    Sun, Zhenglong
    Elara, Mohan Rajesh
    Brahmananthan, Nishann
    Venkataraman, Srinivasan
    Sosa, Ricardo
    Wood, Kristin
    FRONTIERS IN NEUROROBOTICS, 2019, 13
  • [10] Design of a bio-inspired contact-aided compliant wrist
    Bilancia, Pietro
    Baggetta, Mario
    Berselli, Giovanni
    Bruzzone, Luca
    Fanghella, Pietro
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2021, 67