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Multi-objective Optimization of Zero Propellant Spacecraft Attitude Maneuvers

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Abstract

The zero propellant maneuver (ZPM) is an advanced space station, large angle attitude maneuver technique, using only control momentum gyroscopes (CMGs). Path planning is the key to success, and this paper studies the associated multi-objective optimization problem. Three types of maneuver optimal control problem are formulated: (i) momentum-optimal, (ii) time-optimal, and (iii) energy-optimal. A sensitivity analysis approach is used to study the Pareto optimal front and allows the tradeoffs between the performance indices to be investigated. For example, it is proved that the minimum peak momentum decreases as the maneuver time increases, and the minimum maneuver energy decreases if a larger momentum is available from the CMGs. The analysis is verified and complemented by the numerical computations. Among the three types of ZPM paths, the momentum-optimal solution and the time-optimal solution generally possess the same structure, and they are singular. The energy-optimal solution saves significant energy, while generally maintaining a smooth control profile.

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References

  1. Bedrossian, N., Bhatt, S., Lammers, M., Nguyen, L., Zhang, Y.: First ever flight demonstration of zero propellant maneuver attitude control concept. In: AIAA GN&C Conference, Hilton Head, SC, USA. AIAA 2007–6734, 2007

  2. Bedrossian, N., Bhatt, S., Lammers, M., Nguyen, L.: Zero propellant maneuver flight results for 180\(^{\circ }\) ISS rotation. In: 2007 International Symposium on Space Flight Dynamics, Annapolis, MD, USA, NASA/CP-2007-214158, 2007

  3. Bedrossian, N., Bhatt, S., Kang, W., Ross, I.M.: Zero-propellant maneuver guidance. IEEE Control Syst. Mag. 29(5), 53–73 (2009)

    Article  MathSciNet  Google Scholar 

  4. Bhatt, S.: Optimal reorientation of spacecraft using only control moment gyroscopes. Master’s thesis, Rice University, USA (2007)

  5. Zitzler, E.: Evolutionary algorithms for multiobjective optimization: methods and applications. Ph.D. dissertation, Swiss Federal Institute of Technology Zurich, Swiss (1999)

  6. Rao, A.V., Benson, D.A., Darby, C.L., Patterson, M.A., Francolin, C., Sanders, I., Huntington, G.T.: GPOPS: a MATLAB software for solving multiple-phase optimal control problems using the gauss pseudospectral method. ACM Trans. Math. Softw. 37(2), 1–39 (2010)

    Article  Google Scholar 

  7. Garg, D., Patterson, M.A., Hager, W.W., Rao, A.V., Benson, D.A., Huntington, G.T.: A unified framework for the numerical solution of optimal control problems using pseudospectral methods. Automatica 46(11), 1843–1851 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  8. Schaub, H., Junkins, J.L.: Stereographic orientation parameters or attitude dynamics a generalization of the rodrigues parameters. J. Astronaut. Sci. 44(1), 1–19 (1996)

    MathSciNet  Google Scholar 

  9. Rehbock, V., Teo, K.L., Jennings, L.S.: A computational procedure for suboptimal robust controls. Dyn. Control 2, 331–348 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  10. Pesch, H.J.: The accessory minimum problem and its importance for the numerical computation of closed-loop controls. In: Proceedings of the 29th IEEE Conference on Decision and Control, Honolulu, Hawaii, USA, pp. 952–953 (1990)

  11. Hartl, R.F., Sethi, S.P., Vickson, R.G.: A survey of the maximum principles for optimal control problems with state constraint. SIAM Rev. 37(2), 181–218 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  12. Giannessi, F., Mastroeni, G., Pellegrini, L.: On the theory of vector optimization and variational inequalities. Image space analysis and separation. In: Giannessi, F. (eds.) Vector Variational Inequalities and Vector Equilibria. Mathematical Theories, Series Nonconvex Optimization and its Applications, vol. 38, pp. 141–215. Kluwer, Dordrecht (2000)

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Acknowledgments

This research was supported by the National Natural Science Foundation of China, Grant number: 11272346.

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Correspondence to G. J. Tang.

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Communicated by Mauro Pontani.

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Zhang, S., Tang, G.J., Friswell, M.I. et al. Multi-objective Optimization of Zero Propellant Spacecraft Attitude Maneuvers. J Optim Theory Appl 163, 926–948 (2014). https://doi.org/10.1007/s10957-014-0524-8

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  • DOI: https://doi.org/10.1007/s10957-014-0524-8

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