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      Trajectory Optimization for Spacecraft Using a Second-Order Gauss Pseudo Spectral Method

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      https://www.riss.kr/link?id=A100298260

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      다국어 초록 (Multilingual Abstract)

      An optimal control problem for the trajectory of spacecraft under nonlinear constraints is presented. The second-order Gauss pseudo spectral method(GPM) is described for solving the problem numerically. Based on the first-order GPM, the differenti...

      An optimal control problem for the trajectory of spacecraft under nonlinear constraints is presented. The second-order Gauss pseudo spectral method(GPM) is described for solving the problem numerically. Based on the first-order GPM, the differential matrix of the second-order GPM is derived. The dynamic equations and its constraints are approximated by the two methods. The terminal state constraints of the second-order GPM are converted to two constraints: terminal state variables and the first-order derivative constraints. The first-order GPM and second-order GPM are compared in terms of the accuracy of the state and control, the number of variables in NLP, the convergence time. A key feature of the second-order method is that it provides a more accurate and efficient way than the first-order method, due to reducing the number of variables in the nonlinear programming problem that is transcribed. A numerical example is used to identify the key differences between the two methods. The results of this study indicate that the first-order and second-order Gauss methods are very similar in accuracy, while the computational efficiency of the two methods is significantly different, for the numerical solution of nonlinear optimal control problems.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Optimal Control
      • 2.1. Optimal Control Problem
      • 2.2. Second-Order GMP for Optimal Control Problem
      • Abstract
      • 1. Introduction
      • 2. Optimal Control
      • 2.1. Optimal Control Problem
      • 2.2. Second-Order GMP for Optimal Control Problem
      • 3. Numerical Example
      • 4. Conclusions
      • Acknowledgements
      • References
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