Organizational Unit:
Aerospace Design Group

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Now showing 1 - 2 of 2
  • Item
    Adaptive, Integrated Guidance and Control Design for Line-of-Sight-Based Formation Flight
    (Georgia Institute of Technology, 2007-10) Kim, Byoung Soo ; Calise, Anthony J. ; Sattigeri, Ramachandra J.
    This paper presents an integrated guidance and control design for formation flight using a combination of adaptive output feedback and backstepping techniques. We formulate the problem as an adaptive output feedback control problem for a line-of-sight-based formation flight configuration of a leader and a follower aircraft. The design objective is to regulate range and two bearing angle rates while maintaining turn coordination. Adaptive neural networks are trained online with available measurements to compensate for unmodeled nonlinearities in the design process. These include uncertainties due to unknown leader aircraft acceleration, and the modeling error due to parametric uncertainties in the aircraft aerodynamic derivatives. One benefit of this approach is that the guidance and flight control design process is integrated. Simulation results using a nonlinear 6 degrees-of-freedom simulation model are presented to illustrate the efficacy of the approach by comparing the performance with an adaptive timescale separation-based guidance and control design.
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    An Adaptive Vision-Based Approach to Decentralized Formation Control
    (Georgia Institute of Technology, 2004-12) Sattigeri, Ramachandra J. ; Calise, Anthony J. ; Evers, Johnny H.
    In considering the problem of formation control in the deployment of intelligent munitions, it would be highly desirable, both from a mission and a cost perspective, to limit the information that is transmitted between vehicles in formation. We have proposed an adaptive output feedback approach to address this problem. Adaptive formation controllers are designed that allow each vehicle in formation to maintain separation and relative orientation with respect to neighboring vehicles, while avoiding obstacles. We have implemented two approaches for formation control, namely, leader-follower formations and leaderless formations. In leader-follower formations, there is a unique leader and all the other vehicles are followers. In leaderless formations, there is no unique leader. Each vehicle tracks line-of-sight range to up to two nearest vehicles while simultaneously navigating towards a common set of waypoints. As our results show, such leaderless formations can perform maneuvers like splitting to go around obstacles, rejoining after negotiating the obstacles, and changing into line-shaped formation in order to move through narrow corridors.