Low-Thrust Trajectory in Interplanetary Flight Solved by Pseudospectral Method

Authors

Ruiye Jiang, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;
Chao Tao, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;
Songyan Wang, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;
Yang Ming, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;

Abstract

Abstract: The local low-thrust trajectory optimization problem in interplanetary flight was obtained with pseudo spectral method. The dynamic equations of the low-thrust orbit and the design ideas of the indirect method to solve the low-thrust trajectory were introduced. How to use the pseudospectral method to solve the trajectory optimization problem was given. The GPOPS solver (General Pseudospectral Optimal Control Software) was used to design the optimal low-thrust orbit, and the performance indexes of designing the low-thrust orbit are chosen as time-optimal, fuel-optimal and energy-optimal condition. The GPOPS solver was used to obtain the initial values of the costate variables which were used to solve the local orbit optimization with indirect method. The comparison between the optimal trajectories solved by the direct and indirect methods was obtained, which proves the feasibility of the GPOPS solver to solve the local orbit optimization problem in interplanetary flight.

Recommended Citation

Jiang, Ruiye; Tao, Chao; Wang, Songyan; and Ming, Yang (2020) "Low-Thrust Trajectory in Interplanetary Flight Solved by Pseudospectral Method," Journal of System Simulation: Vol. 29: Iss. 9, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201709022
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/22

First Page

2043

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201709022

Last Page

2053

CLC

TP391

Recommended Citation

Jiang Ruiye, Chao Tao, Wang Songyan, Yang Ming. Low-Thrust Trajectory in Interplanetary Flight Solved by Pseudospectral Method[J]. Journal of System Simulation, 2017, 29(9): 2043-2053.

DOI

10.16182/j.issn1004731x.joss.201709022