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ATTITUDE AND CONFIGURATION CONTROL OF FLEXIBLE MULTI-BODY SPACECRAFT

  • Choi, Sung-Ki (Communications Satellite Development Center, ETRI) ;
  • Jone, E. (Communications Satellite Development Center, ETRI) ;
  • Cochran, Jr. (Department of Aerospace Engineering, Auburn University, USA)
  • Published : 2002.06.01

Abstract

Multi-body spacecraft attitude and configuration control formulations based on the use of collaborative control theory are considered. The control formulations are based on two-player, nonzero-sum, differential game theory applied using a Nash strategy. It is desired that the control laws allow different components of the multi-body system to perform different tasks. For example, it may be desired that one body points toward a fixed star while another body in the system slews to track another satellite. Although similar to the linear quadratic regulator formulation, the collaborative control formulation contains a number of additional design parameters because the problem is formulated as two control problems coupled together. The use of the freedom of the partitioning of the total problem into two coupled control problems and the selection of the elements of the cross-coupling matrices are specific problems ad-dressed in this paper. Examples are used to show that significant improvement in performance, as measured by realistic criteria, of collaborative control over conventional linear quadratic regulator control can be achieved by using proposed design guidelines.

Keywords

References

  1. Optimal Control Athans,M.;Felb,P.
  2. Introduction to Mathematical Control Theory Barnett,S.
  3. Ph.D thesis, Auburn University Fitz-Coy,N.G.
  4. Advances in the Astronautical Sciences Series Fitz-Coy,N.G.;Cochran,J.E.Jr.;C.L.Thornton(ed.)
  5. J. of Optimization Theory and Applications v.7 Foley,M.H.;Schmitendorf,W.E. https://doi.org/10.1007/BF00933999
  6. IEEE Transactions on Automatic Control v.AC-16 Krikelis,N.J.;Rekasius,Z.V.
  7. J. of Optimization Theory and Applications v.3 Starr,A.W.;Ho,Y.C. https://doi.org/10.1007/BF00929443
  8. J. of Optimization Theory and Applications v.3 Starr,A.W.;Ho,Y.C. https://doi.org/10.1007/BF00926523
  9. J. of Optimization Theory and Applications v.28 Papavassilopoulos,G.P.;Medanic,J.V.;Cruz,J.B.Jr. https://doi.org/10.1007/BF00933600