Optimal Dynamic Inversion Control for Spacecraft Maneuver-Aided Tracking

The discussion of this chapter is focused on a generalized inter-satellite tracking problem, maneuver-aided active satellite tracking. Due to the uncooperative maneuver of the active target satellite decreasing the tracking performance, a generalized scheme named spacecraft maneuver-aided tracking strategy (SMATS) is established. The SMATS is mainly composed of an algorithm for robust tracking, a scheme for reference coordinate system matching, a relative motion control law, and a transfer function of tracking attitude. It can help realize the chaser satellite staying autonomously with the desired position and attitude and guarantee the tracking performance. The control law is developed by using the optimal dynamic inversion control (ODIC) method, having six DOFs. Based on the precise feedback linearization, the ODIC law is a nonlinear optimal solution, providing desirable control performance. The efficiency of the SMATS and the advantages of the ODIC law are demonstrated by several simulation cases.

[1]  Jing Zhongliang,et al.  Dynamic optimal sliding-mode control for six-DOF follow-up robust tracking of active satellite , 2011 .

[2]  K. Alfriend,et al.  State Transition Matrix of Relative Motion for the Perturbed Noncircular Reference Orbit , 2003 .

[3]  Yang Cheng,et al.  Sparse Gauss-Hermite Quadrature Filter with Application to Spacecraft Attitude Estimation , 2011 .

[4]  Y. Bar-Shalom,et al.  Unbiased converted measurements for tracking , 1998 .

[5]  K. Alfriend,et al.  Evaluation and Comparison of Relative Motion Theories , 2005 .

[6]  Penina Axelrad,et al.  Formation Design in Eccentric Orbits Using Linearized Equations of Relative Motion , 2006 .

[7]  Moteaal Asadi Shirzi,et al.  Active tracking using Intelligent Fuzzy Controller and kernel-based algorithm , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[8]  K. Xiong,et al.  Adaptive robust extended Kalman filter for nonlinear stochastic systems , 2008 .

[9]  John Valasek,et al.  PRELIMINARY RESULTS OF VEHICLE FORMATION CONTROL USING DYNAMIC INVERSION , 2004 .

[10]  Hanxin Zhang,et al.  Modified unscented Kalman filtering and its application in autonomous satellite navigation , 2009 .

[11]  Chongzhao Han,et al.  Comments on "Unbiased converted measurements for tracking" , 2004 .

[12]  Naira Hovakimyan,et al.  Visual Tracking of a Maneuvering Target , 2006 .

[13]  R. Broucke,et al.  Solution of the Elliptic Rendezvous Problem with the Time as Independent Variable , 2003 .

[14]  Wen-Hua Chen,et al.  Nonlinear Disturbance Observer-Enhanced Dynamic Inversion Control of Missiles , 2003 .

[15]  B. Agrawal,et al.  Novel Expressions of Equations of Relative Motion and Control in Keplerian Orbits , 2009 .

[16]  Jan Albert Mulder,et al.  Reentry Flight Controller Design Using Nonlinear Dynamic Inversion , 2003 .

[17]  S. Haykin,et al.  Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.

[18]  David B. Doman,et al.  Dynamic Inversion-Based Adaptive/Reconfigurable Control of the X-33 on Ascent , 2002 .

[19]  Naira Hovakimyan,et al.  Adaptive Disturbance Rejection Controller for Visual Tracking of a Maneuvering Target , 2007 .

[20]  Naira Hovakimyan,et al.  Active Control of Visual Sensor for Aerial Tracking , 2006 .

[21]  João Araújo,et al.  Nonlinear Dynamic Inversion-based Guidance and Control for a Pinpoint Mars Entry , 2008 .

[22]  Guangjun Liu,et al.  Maneuver-Aided Active Satellite Tracking Using Six-DOF Optimal Dynamic Inversion Control , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Zhongliang Jing,et al.  Redundant adaptive robust tracking of active satellite and error evaluation , 2010 .

[24]  S.C. Stubberud,et al.  An adaptive Gaussian sum approach for maneuver tracking , 2005, 2005 IEEE Aerospace Conference.

[25]  Daniel J. Scheeres,et al.  Analytical Nonlinear Propagation of Uncertainty in the Two-Body Problem , 2012 .