Separation property for the rigid-body attitude tracking control problem

被引:50
|
作者
Seo, Dongeun [1 ]
Akella, Maruthi R. [1 ]
机构
[1] Univ Texas, Dept Aerosp Engn & Engn Mech, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
D O I
10.2514/1.30296
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Quaternion-based proportional-derivative controllers for rigid-body attitude dynamics provide globally stabilizing solutions to both set-point regulation and trajectory tracking problems. Because the quaternion vector, or for that matter, any other attitude representation, can never be directly exactly measured, proportional-derivative controllers are invariably implemented under the assumption that the attitude error is available from suitable observers whose estimates converge sufficiently fast to the corresponding true attitude. To compound the situation, given the nonlinearities within the governing dynamics, most existing attitude observers can at best be proven to provide only asymptotic (i.e., nonexponential) convergence for the attitude estimation errors. This has the serious consequence that closed-loop stability assurances provided by classical proportional-derivative control laws no longer remain valid when the true attitude errors are replaced by their corresponding estimates. In this paper, we present a new quaternion-based attitude tracking controller that guarantees global asymptotic stability for the closed-loop dynamics while adopting an observer to generate the quaternion-based attitude estimates. We show that the state feedback control law and the estimator can be independently designed so that closed-loop stability is maintained even when they are combined. Accordingly, a separation property is established for the rigid-body attitude tracking problem, the first such result to our best knowledge. The crucial step in our stability analysis involves introduction ofa novel class ofstrict Lyapunov functions whose time derivatives contain additional negative terms that help dominate the error terms arising due to the attitude observer implementation. Detailed proofs and numerical simulation examples are presented to help illustrate all the technical aspects of this work.
引用
收藏
页码:1569 / 1576
页数:8
相关论文
共 50 条
  • [41] Geometric Tracking Control of the Attitude Dynamics of a Rigid Body on SO(3)
    Lee, Taeyoung
    2011 AMERICAN CONTROL CONFERENCE, 2011, : 1200 - 1205
  • [42] Semiglobal Exponential Stability for Dual-Quaternion-Based Rigid-Body Tracking Control
    Zinage, Vrushabh
    Ram, S. P. Arjun
    Akella, Maruthi R.
    Bakolas, Efstathios
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2024, 47 (08) : 1507 - 1520
  • [43] Neural-network-based sliding-mode control for multiple rigid-body attitude tracking with inertial information completely unknown
    Ma, Xi
    Sun, Fuchun
    Li, Hongbo
    He, Bin
    INFORMATION SCIENCES, 2017, 400 : 91 - 104
  • [44] Motion sketching for control of rigid-body simulations
    Popovic, J
    Seitz, SM
    Erdmann, M
    ACM TRANSACTIONS ON GRAPHICS, 2003, 22 (04): : 1034 - 1054
  • [45] Attitude & Position Tracking of a Underwater Rigid Body
    Kumar, Arun S.
    Warier, Rakesh R.
    Sukumar, Srikant
    IFAC PAPERSONLINE, 2016, 49 (18): : 606 - 611
  • [46] Nonlinear PID-like controllers for rigid-body attitude stabilization
    Subbarao, K
    JOURNAL OF THE ASTRONAUTICAL SCIENCES, 2004, 52 (1-2): : 61 - 74
  • [47] Nonlinear PID-Like Controllers for Rigid-Body Attitude Stabilization
    Subbarao, Kamesh
    Journal of the Astronautical Sciences, 2004, 52 (1-2): : 61 - 74
  • [48] Event-triggered attitude synchronization of multiple rigid-body systems
    Wang, Shimin
    Shu, Zhan
    Chen, Tongwen
    SYSTEMS & CONTROL LETTERS, 2021, 149
  • [49] FusionKit: A Generic Toolkit for Skeleton, Marker and Rigid-Body Tracking
    Rietzler, Michael
    Geiselhart, Florian
    Thomas, Janek
    Rukzio, Enrico
    EICS'16: PROCEEDINGS OF THE 8TH ACM SIGCHI SYMPOSIUM ON ENGINEERING INTERACTIVE COMPUTING SYSTEMS, 2016, : 73 - 84
  • [50] Attitude/Position Estimation of Rigid-Body using Inertial and Vision Sensors
    Sun, Shihao
    Jia, Yingmin
    JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE, 2016, 3 (02): : 102 - 106