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Costate estimation for dynamic systems of the second order

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Abstract

The dynamics of a mechanical system in the Lagrange space yields a set of differential equations of the second order and involves much less variables and constraints than that described in the state space. This paper presents a so-called Legendre pseudo-spectral (PS) approach for directly estimating the costates of the Bolza problem of optimal control of a set of dynamic equations of the second order. Under a set of closure conditions, it is proved that the Karush-Kuhn-Tucker (KKT) multipliers satisfy the same conditions as those determined by collocating the costate equations of the second order. Hence, the KKT multipliers can be used to estimate the costates of the Bolza problem via a simple linear mapping. The proposed approach can be used to check the optimality of the direct solution for a trajectory optimization problem involving the dynamic equations of the second order and to remove any conversion of the dynamic system from the second order to the first order. The new approach is demonstrated via two classical benchmark problems.

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References

  1. Betts J T. Survey of numerical methods for trajectory optimization. J Guid Control Dyn, 1998, 21(2): 193–207

    Article  Google Scholar 

  2. Bryson A E, Ho Y C. Applied Optimal Control. New York: Hemisphere, 1975. 120–123, 214–215

    Google Scholar 

  3. Grimm W, Markl A. Adjoint estimation from a direct multiple shooting method. J Optim Theory Appl, 1997, 92(2): 263–283

    Article  MATH  MathSciNet  Google Scholar 

  4. Fahroo F, Ross I M. Costate estimation by a Legendre pseudospectral method. J Guid Control Dyn, 2001, 24(2): 270–277

    Article  Google Scholar 

  5. Ross I M, Fahroo F. Legendre pseudospectral approximations of optimal control problems. In: Lecture Notes in Control and Information Sciences. New York: Springer-Verlag, 2003, 295: 327–342

    Google Scholar 

  6. Fahroo F, Ross I M. On discrete-time optimality conditions for pseudospectral methods. In: Proceedings of AIAA/AAS Astrodynamics Specialist Conference. United States: AIAA, 2006. 792–808

    Google Scholar 

  7. Benson D A, Huntington G T, Thorvaldsen T P, et al. Direct trajectory optimization and costate estimation via an orthogonal collocation method. J Guid Control Dyn, 2006, 29(6): 1435–1440

    Article  Google Scholar 

  8. Gong Q, Ross I, Kang W, et al. Connections between the covector mapping theorem and convergence of pseudospectral methods for optimal control. Comput Optim Appl, 2008, 41(3): 307–335

    Article  MathSciNet  Google Scholar 

  9. Williams P. Jacobi pseudospectral method for solving optimal control problems. J Guid Control Dyn, 2004, 27(2): 293–297

    Article  Google Scholar 

  10. Ross I M, Rea J, Fahroo F. Exploiting higher-order derivatives in computational optimal control. Proceedings of the 10th Mediterranean Conference on Control and Automation, Lisbon, 2002

  11. Wen H, Jin D P, Hu H Y. Three-dimensional optimal deployment of a tethered subsatellite with an elastic tether. Int J Comput Math, 2008, 85(6): 915–923

    Article  MATH  MathSciNet  Google Scholar 

  12. Ross I M, Fahroo F. Issues in the real-time computation of optimal control. Math Comput Model, 2006, 43(9–10): 1172–1188

    Article  MATH  MathSciNet  Google Scholar 

  13. Veeraklaew T, Agrawal S K. New computational framework for trajectory optimization of higher-order dynamic systems. J Guid Control Dyn, 2001, 24(2): 228–236

    Article  Google Scholar 

  14. Veeraklaew T. Extensions of optimization theory and new computational approaches for higher-order dynamic systems. Dissertation of Doctoral Degree. United States: University of Delaware, 1999

    Google Scholar 

  15. Ross I M, Fahroo F. A perspective on methods for trajectory optimization. In: Proceedings of AIAA/AAS Astrodynamics Specialist Conference and Exhibit. United States: AIAA, 2002

    Google Scholar 

  16. Nocedal J, Wright S J. Numerical Optimization. New York: Springer-Verlag, 1999

    Book  MATH  Google Scholar 

  17. Wächter A, Biegler L T. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math Program, 2006, 106(1): 25–57

    Article  MATH  MathSciNet  Google Scholar 

  18. Spong M W, Vidyasagar M. Robot Dynamics and Control. New York: John Wiley & Son, 1989. 164–165

    Google Scholar 

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Correspondence to HaiYan Hu.

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Supported by the National Natural Science Foundation of China (Grant Nos. 10372039, 10672073), and the Innovation Fund for Graduate Students of NUAA (Grant No. 4003-019016)

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Wen, H., Jin, D. & Hu, H. Costate estimation for dynamic systems of the second order. Sci. China Ser. E-Technol. Sci. 52, 752–760 (2009). https://doi.org/10.1007/s11431-009-0041-4

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  • DOI: https://doi.org/10.1007/s11431-009-0041-4

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