In this paper, we investigate the attitude synchronization problem for multiple networked spacecraft, and the spacecraft agents are assumed to interact on an undirected and connected graph. We adopt a physically motivated PD-like attitude consensus scheme which takes Euler parameters or quaternions of the error orientation matrix between the spacecraft agents as the attitude deviation, resulting in nonlinear attitude coupling among the networked spacecraft agents and additionally multiple equilibria of the closed-loop networked system. The stability of the closed-loop networked system is shown by the Lyapunov stability analysis. To show the convergence of the attitude synchronization errors, we develop a new tool called cyclic constraint analysis. With this synthesis tool, we show that attitude synchronization is achieved without relying on any assumptions of the spacecraft orientations. Simulation study is presented to shed some light on the obtained results.
Skip Nav Destination
Article navigation
November 2013
Research-Article
Cyclic Constraint Analysis for Attitude Synchronization of Networked Spacecraft Agents
Yongchun Xie
Yongchun Xie
e-mail: xieyongchun@vip.sina.com
Intelligent Control Laboratory,
Beijing Institute of Control Engineering,
Science and Technology on Space
Intelligent Control Laboratory,
Beijing Institute of Control Engineering,
Beijing 100190
, China
Search for other works by this author on:
Hanlei Wang
e-mail: hlwang.bice@gmail.com
Yongchun Xie
e-mail: xieyongchun@vip.sina.com
Intelligent Control Laboratory,
Beijing Institute of Control Engineering,
Science and Technology on Space
Intelligent Control Laboratory,
Beijing Institute of Control Engineering,
Beijing 100190
, China
Contributed by the Dynamic Systems Division of ASME for publication in the Journal of Dynamic Systems, Measurement, and Control. Manuscript received July 30, 2012; final manuscript received April 15, 2013; published online August 30, 2013. Assoc. Editor: Won-jong Kim.
J. Dyn. Sys., Meas., Control. Nov 2013, 135(6): 061019 (8 pages)
Published Online: August 30, 2013
Article history
Received:
July 30, 2012
Revision Received:
April 15, 2013
Citation
Wang, H., and Xie, Y. (August 30, 2013). "Cyclic Constraint Analysis for Attitude Synchronization of Networked Spacecraft Agents." ASME. J. Dyn. Sys., Meas., Control. November 2013; 135(6): 061019. https://doi.org/10.1115/1.4024802
Download citation file:
Get Email Alerts
Cited By
A Case Study Comparing Both Stochastic and Worst-Case Robust Control Co-Design Under Different Control Structures
J. Dyn. Sys., Meas., Control
Robust Fault Detection for Unmanned Aerial Vehicles Subject to Denial-of-Service Attacks
J. Dyn. Sys., Meas., Control (May 2025)
Learning Battery Model Parameter Dynamics From Data With Recursive Gaussian Process Regression
J. Dyn. Sys., Meas., Control (May 2025)
Nonsingular Fast Terminal Sliding Mode-Based Lateral Stability Control for Three-Axis Heavy Vehicles
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Adaptive Synchronization Control of Multiple Spacecraft Formation Flying
J. Dyn. Sys., Meas., Control (May,2007)
A Novel Input–Output Linearization Minimum Sliding Mode Error Feedback Control for Synchronization of FitzHugh–Nagumo Neurons
J. Comput. Nonlinear Dynam (July,2016)
Position Domain Synchronization Control of Multi-Degrees of Freedom Robotic Manipulator
J. Dyn. Sys., Meas., Control (March,2014)
Fractional Hyperchaotic Telecommunication Systems: A New Paradigm
J. Comput. Nonlinear Dynam (July,2013)
Related Proceedings Papers
Related Chapters
Sliding-Mode Synchronization Control for Fractional-Order Chaotic Systems with Disturbance
Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation
Anti-Synchronization Control for Fractional-Order Nonlinear Systems Using Disturbance Observer and Neural Networks
Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation
Synchronization Control for Fractional-Order Systems Subjected to Input Saturation
Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation