2016
DOI: 10.1177/0954410016649208
|View full text |Cite
|
Sign up to set email alerts
|

Maximum range trajectory optimization for a boost-glide vehicle using adaptive mesh refinement pseudospectral methods

Abstract: The maximum down range trajectory optimization problem with multiple phases and multiple constraints corresponding to the flight of a boost-glide vehicle is considered. The longitudinal motion model was built as a multiphase optimization problem under constraints. Legendre–Gauss–Radau collocation points were used to transcribe the optimization problem into a finite-dimensional nonlinear programming problem, and the maximization down range trajectory was obtained based on adaptive mesh refinement pseudospectral… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 16 publications
(23 reference statements)
0
4
0
Order By: Relevance
“…Trajectory optimization is an optimal control problem and is realized by a direct transcription method called hp-adaptive Radau pseudo-spectral method [38][39][40] in this paper. In this method, Legendre-Gauss-Radau collection points and Gaussian quadrature implicit integration are used to transform the continuous-time optimal control problem into a nonlinear programming problem (NLP).…”
Section: Numerical Calculation Methodsmentioning
confidence: 99%
“…Trajectory optimization is an optimal control problem and is realized by a direct transcription method called hp-adaptive Radau pseudo-spectral method [38][39][40] in this paper. In this method, Legendre-Gauss-Radau collection points and Gaussian quadrature implicit integration are used to transform the continuous-time optimal control problem into a nonlinear programming problem (NLP).…”
Section: Numerical Calculation Methodsmentioning
confidence: 99%
“…R 2p . This system of dynamical equations beside the initial, boundary and transversality conditions in equations (1), (2) and (8), and/or conditions in equation 9, and the switching condition in equation 12, forms a HBVP which is expressed by…”
Section: Problem Statementmentioning
confidence: 99%
“…In particular, a class of switching optimal control problems, in which control function jumps from one boundary to another and stands in the form of a linear function in the cost functional and the dynamical equations, is considered as a target problem. This class of optimal control problems, which is usually named as bangbang optimal control problems, arises in many aspects of aerospace engineering such as trajectory design of a spacecraft, 1,2 rest-to-rest and rapid attitude maneuvers of a spacecraft. [3][4][5] Regardless of having a simple structure in optimal control, the numerical solution of this family of optimal control problems can be extremely difficult, especially, when any basic information about the optimal control structure is not available.…”
Section: Introductionmentioning
confidence: 99%
“…In Qiu et al., an optimal scheme of a multiphase maximum down range trajectory optimization problem based on adaptive mesh refinement pseudospectral methods for a boost–glide vehicle is proposed. 19 An optimal strategy of the cost function based on dynamic programming has been presented to search free interior points more accurately. Range optimization of an HBGV under near-real condition is addressed in Li et al., wherein the heat rate constraint is imposed as an in-flight constraint along with others to check capability of wall cooling materials.…”
Section: Introductionmentioning
confidence: 99%