Nonlinear continuous and differentiable 3D trajectory command generation

被引:0
|
作者
Mumm, Nils Christian [1 ]
Schneider, Volker [1 ]
Holzapfel, Florian [1 ]
机构
[1] Tech Univ Munich, Inst Flight Syst Dynam, D-85748 Garching, Germany
关键词
trajectory control; 3D trajectory; 3D trajectory command; trajectory; Frenet; Frenet frame; foot point; foot point propagation;
D O I
暂无
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper is about an extended approach calculating continuous trajectory controller commands up to second order time derivatives required by a nonlinear dynamic inversion based 3D trajectory controller. The continuous commands are calculated based on a predefined continuous, at least three-times differentiable geometric trajectory as well as velocity and acceleration measurements. For doing so, also an expression for the desired position on the trajectory in terms of a differential equation for the trajectory parameter is derived. In order to avoid the desired position drifting away an additional proportional error feedback controller is introduced. The proposed method is intended for the use as a modular part of an integrated auto flight system.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] NURBs Trajectory Generation and Following by an Autonomous Mobile Robot Navigating in 3D Environment
    Belaidi, Hadjira
    Hentout, Abdelfetah
    Bouzouia, Brahim
    Bentarzi, Hamid
    Belaidi, Abderrahmane
    [J]. 2014 IEEE 4TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2014, : 168 - 173
  • [22] Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environments
    Jeon, Boseong Felipe
    Kim, H. Jin
    [J]. 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2019, : 1115 - 1121
  • [23] Koala 3D: A continuous climbing 3D printer
    Velez, Maximiliano
    Toala, Efren
    Cristobal Zagal, Juan
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 64
  • [24] 3D Trajectory Tracking For a Quadcopter using MPC on a 3D Terrain
    Singhal, Rahul
    Sujit, P. B.
    [J]. 2015 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'15), 2015, : 1385 - 1390
  • [25] 3D Semantic Trajectory Reconstruction from 3D Pixel Continuum
    Yoon, Jae Shin
    Li, Ziwei
    Park, Hyun Soo
    [J]. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 5060 - 5069
  • [26] Trajectory planning for coordinating satellites using command generation
    Biediger, EAO
    Singhose, WE
    Okada, H
    Matunaga, S
    [J]. SPACE ACTIVITIES AND COOPERATION CONTRIBUTING TO ALL PACIFIC BASIN COUNTRIES, 2004, 117 : 401 - 412
  • [27] Evaluating 3D Vision for Command and Control Applications
    Wolfe, Britton
    Kim, Beomjin
    Aeschliman, Benjamin
    Sedlmeyer, Robert
    [J]. ADVANCES IN VISUAL COMPUTING, PT II, 2013, 8034 : 747 - 756
  • [28] Research on 3D Reconstruction of Furniture Based on Differentiable Renderer
    Miao, Yalin
    Jiang, Hui
    Jiang, Lin
    Tong, Meng
    [J]. IEEE ACCESS, 2022, 10 : 94312 - 94320
  • [29] Adaptive Joint Optimization for 3D Reconstruction With Differentiable Rendering
    Zhang, Jingbo
    Wan, Ziyu
    Liao, Jing
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 29 (06) : 3039 - 3051
  • [30] Towards 3D Scene Understanding Using Differentiable Rendering
    Periyasamy A.S.
    Behnke S.
    [J]. SN Computer Science, 4 (3)