scholarly journals Multi-Objective Low-Thrust Interplanetary Trajectory Optimization Based on Generalized Logarithmic Spirals

2019 ◽  
Vol 42 (3) ◽  
pp. 476-490 ◽  
Author(s):  
David Morante ◽  
Manuel Sanjurjo Rivo ◽  
Manuel Soler
Keyword(s):  
Trajectory Optimization ◽  
Low Thrust ◽  
Multi Objective ◽  
Logarithmic Spirals ◽  
Interplanetary Trajectory

The solution of some difficult problems in low-thrust interplanetary trajectory optimization

2007 ◽  
Vol 9 (3) ◽  
pp. 229-251 ◽  
Author(s):  
M. C. Bartholomew-Biggs ◽  
L. C. W. Dixon ◽  
S. E. Hersom ◽  
Z. A. Maany
Keyword(s):  
Trajectory Optimization ◽  
Low Thrust ◽  
Interplanetary Trajectory

Multi-Objective Trajectory Optimization of Free-Floating Space Manipulator Using NSGA-II

2015 ◽  
Vol 713-715 ◽  
pp. 800-804 ◽  
Author(s):  
Gang Chen ◽  
Cong Wei ◽  
Qing Xuan Jia ◽  
Han Xu Sun ◽  
Bo Yang Yu
Keyword(s):  
Trajectory Optimization ◽  
Interpolation Method ◽  
Optimal Solution ◽  
Optimization Method ◽  
Joint Space ◽  
Motion Path ◽  
Objective Functions ◽  
Nsga Ii ◽  
Space Manipulator ◽  
Multi Objective

In this paper, a kind of multi-objective trajectory optimization method based on non-dominated sorting genetic algorithm II (NSGA-II) is proposed for free-floating space manipulator. The aim is to optimize the motion path of the space manipulator with joint angle constraints and joint velocity constraints. Firstly, the kinematics and dynamics model are built. Secondly, the 3-5-3 piecewise polynomial is selected as interpolation method for trajectory planning of joint space. Thirdly, three objective functions are established to simultaneously minimize execution time, energy consumption and jerk of the joints. At last, the objective functions are combined with the NSGA-II algorithm to get the Pareto optimal solution set. The effectiveness of the mentioned method is verified by simulations.

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