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Direct Trajectory Optimization and Costate Estimation via an Orthogonal Collocation Method
Author(s) -
David A. Benson,
Geoffrey T. Huntington,
Tom Thorvaldsen,
Anil V. Rao
Publication year - 2006
Publication title -
journal of guidance control and dynamics
Language(s) - English
Resource type - Journals
eISSN - 1533-3884
pISSN - 0731-5090
DOI - 10.2514/1.20478
Subject(s) - trajectory optimization , collocation (remote sensing) , trajectory , computer science , nonlinear programming , orthogonal collocation , control theory (sociology) , mathematical optimization , estimation , mathematics , collocation method , nonlinear system , optimal control , control (management) , physics , mathematical analysis , engineering , artificial intelligence , ordinary differential equation , astronomy , machine learning , quantum mechanics , differential equation , systems engineering
A pseudospectral method, called the Gauss pseudospectral method, for solving nonlinear optimal control problems is presented. In the method presented here, orthogonal collocation of the dynamics is performed at the Legendre-Gauss points. This form of orthogonal collocation leads a nonlinear programming problem (NLP) whose Karush-Kuhn-Tucker (KKT) multipliers can be mapped to the costates of the continuous-time optimal control problem. In particular the Legendre-Gauss collocation leads to a costate mapping at the boundary points. The method is demonstrated on an example problem where it is shown that highly accurate costates are obtained. The results presented in this paper show that the Gauss pseudospectral method is a viable apprach for direct trajectory optimization and costate estimation.

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