On Discrete-Time Optimality Conditions for Pseudospectral Methods

Loading...
Thumbnail Image
Authors
Fahroo, Fariba
Ross, I. Michael
Subjects
space trajectory optimization
Pseudospectral (PS) methods
Gauss-Lobatto PS
infinite-horizon optimal control problems
Covector Mapping Principle
Advisors
Date of Issue
2006-08-21
Date
August 21-24, 2006
Publisher
The American Institute of Aeronautics and Astronautics (AIAA)
Language
Abstract
One of the most efficient families of techniques for solving space trajectory optimization problems are pseudospectral (PS) methods. Among the rich variety of PS methods, the class of Legendre PS methods are most thoroughly studied for optimal control and trajectory optimization applications. In particular, the Legendre-Gauss-Lobatto PS method is widely used for boundary-value type problems while the Legendre-Gauss-Radau PS method was recently proposed for solving innate-horizon optimal control problems as a means to manage conditions at inanity. Both methods satisfy the Convector Mapping Principle, the mathematical principle associated with the consistency of approximations that allows one to generate dual maps (such as Hamiltonians, adjoins etc) without resorting to solving di'cult two-point boundary-value problems. In this paper we prove that a combination of weighted interpolants, their duals, and a proper definition of orthogonality allows us to formulate a generalized Covector Mapping Theorem that applies to all such PS methods. The consequences of this theorem are that it clarifies the connections between theory and computation, the impact of these connections on solving trajectory optimization problems, and the selection of the correct PS method for solving problems quickly and efficiently. A classical benchmark continuous-thrust orbit transfer problem is used to illustrate the concepts.
Type
Conference Paper
Description
The article of record as published may be located at http://arc.aiaa.org
Proceedings of AIAA Guidance, Navigation, and Control Conference ; Paper no. AIAA 2006-6304, Keystone, Colorado, Aug. 21-24, 2006
Series/Report No
Department
Applied Mathematics
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Collections