Title :
On-orbit long-range maneuver transfer via EDAs
Author :
Hu, Laihong ; Sun, Fuchun ; Xu, Hualong ; Liu, Huaping ; Wu, Fengge
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
Abstract :
Long-range maneuver transfer consumes the most fuel and time of the rendezvous process, and it is a multi-variable, multi-extremum optimization problem, which is difficult to solve using traditional optimization algorithms. This paper researched the mathematical model of long-range maneuver transfer of spacecraft with impulse thrust, and optimized the parameters of orbit transfer based on a class of novel stochastic optimization algorithms, estimation of distribution algorithms (EDAs) with minimum fuel-time consumption being the optimization objective, and compared with genetic algorithms (GAs). Simulation results showed that EDAs were effective method for solving long-range maneuver transfer.
Keywords :
aerospace control; aerospace robotics; genetic algorithms; mathematical analysis; mobile robots; space vehicles; stochastic processes; estimation of distribution algorithms; genetic algorithms; long-range maneuver transfer; mathematical model; multiextremum optimization problem; multivariable problem; on-orbit long-range maneuver transfer; rendezvous process; spacecraft long-range maneuver transfer; stochastic optimization algorithms; Atmospheric modeling; Electronic design automation and methodology; Extraterrestrial measurements; Fuels; Genetic algorithms; Low earth orbit satellites; Mathematical model; Phase measurement; Space stations; Space vehicles;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631110
