Biologically inspired feedback design for Drosophila flight

被引:0
|
作者
Epstein, Michael [1 ]
Waydo, Stephen [1 ]
Fuller, Sawyer B. [1 ]
Dickson, Will [1 ]
Straw, Andrew [1 ]
Dickinson, Michael H. [1 ]
Murray, Richard M. [1 ]
机构
[1] CALTECH, Div Engn & Appl Sci, Pasadena, CA 91125 USA
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We use a biologically motivated model of the Drosophila's flight mechanics and sensor processing to design a feedback control scheme to regulate forward flight. The model used for insect flight is the Grand Unified Fly (GUF) [3] simulation consisting of rigid body kinematics, aerodynamic forces and moments, sensory systems, and a 3D environment model. We seek to design a control algorithm that will convert the sensory signals into proper wing beat commands to regulate forward flight. Modulating the wing beat frequency and mean stroke angle produces changes in the flight envelope. The sensory signals consist of estimates of rotational velocity from the haltere organs and translational velocity estimates from visual elementary motion detectors (EMD's) and matched retinal velocity filters. The controller is designed based on a longitudinal model of the flight dynamics. Feedforward commands are generated based on a desired forward velocity. The dynamics are linearized around this operating point and a feedback controller designed to correct deviations from the operating point. The control algorithm is implemented in the GUF simulator and achieves the desired tracking of the forward reference velocities and exhibits biologically realistic responses.
引用
下载
收藏
页码:5002 / 5008
页数:7
相关论文
共 50 条
  • [1] Design and Feedback Control of a Biologically-Inspired Miniature Quadruped
    Ozcan, Onur
    Baisch, Andrew T.
    Wood, Robert J.
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 1438 - 1444
  • [2] Biologically inspired design
    Shu, L. H.
    Ueda, K.
    Chiu, I.
    Cheong, H.
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2011, 60 (02) : 673 - 693
  • [3] Biologically inspired design
    Lakhtakia, Akhlesh
    BIOINSPIRATION, BIOMIMETICS, AND BIOREPLICATION XIII, 2023, 12481
  • [4] Biologically inspired design
    Chakrabarti, Amaresh
    Shu, L. H.
    AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 2010, 24 (04): : 453 - 454
  • [5] Biologically Inspired Design
    Goel, Ashok K.
    McAdams, Daniel A.
    Stone, Robert B.
    JOURNAL OF MECHANICAL DESIGN, 2013, 135 (07)
  • [6] Biologically inspired visual sensing and flight Control
    Barrows, GL
    Chahl, JS
    Srinivasan, MV
    AERONAUTICAL JOURNAL, 2003, 107 (1069): : 159 - 168
  • [7] APPLYING DESIGNER FEEDBACK TO GENERATE REQUIREMENTS FOR AN INTUITIVE BIOLOGICALLY INSPIRED DESIGN TOOL
    Arlitt, Ryan
    O'Halloran, Bryan M.
    Novak, Jennifer
    Stone, Robert B.
    Turner, Irem Y.
    INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION - 2012, VOL 2: BIOMEDICAL AND BIOTECHNOLOGY, 2013, : 35 - +
  • [8] Teaching Biologically Inspired Design
    Yen, J.
    Li, W.
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2019, 59 : E257 - E257
  • [9] Paradigms for biologically inspired design
    Lenau, T. A.
    Metze, A. -L.
    Hesselberg, T.
    BIOINSPIRATION, BIOMIMETICS, AND BIOREPLICATION VIII, 2018, 10593
  • [10] Biologically Inspired Design for Environment
    Lenau, Torben A.
    Pigosso, Daniela C. A.
    McAloone, Tim C.
    Lakhtakia, Akhlesh
    BIOINSPIRATION, BIOMIMETICS, AND BIOREPLICATION X, 2020, 11374