Multiphase Return Trajectory Optimization Based on Hybrid Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A hybrid trajectory optimization method consisting of Gauss pseudospectral method (GPM) and natural computation algorithm has been developed and utilized to solve multiphase return trajectory optimization problem, where a phase is defined as a subinterval in which the right-hand side of the differential equation is continuous.
GPM converts the optimal control problem to a nonlinear programming problem (NLP), which helps to improve calculation accuracy and speed of natural computation algorithm.
Through numerical simulations, it is found that the multiphase optimal control problem could be solved perfectly.
American Psychological Association (APA)
Yang, Yi& Nan, Ying. 2016. Multiphase Return Trajectory Optimization Based on Hybrid Algorithm. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112428
Modern Language Association (MLA)
Yang, Yi& Nan, Ying. Multiphase Return Trajectory Optimization Based on Hybrid Algorithm. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112428
American Medical Association (AMA)
Yang, Yi& Nan, Ying. Multiphase Return Trajectory Optimization Based on Hybrid Algorithm. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112428