DocumentCode :
1635101
Title :
Optimization of low-thrust Earth-Moon transfers using evolutionary neurocontrol
Author :
Ohndorf, A. ; Dachwald, B. ; Gill, E.
Author_Institution :
Dept. of Earth Obs. & Space Syst., Delft Univ. of Technol., Delft
fYear :
2009
Firstpage :
358
Lastpage :
364
Abstract :
Although low-thrust propulsion is an interesting option for scientific and reconnaissance missions to targets in planetary space, like the Moon, associated transfer strategies pose challenging requirements in terms of optimal control. The method of evolutionary neurocontrol (ENC), which has been applied very successfully to interplanetary low-thrust transfer problems, is now used for solving this type of steering problem. For exemplary validation, two low-thrust transfers from an Earth-bound geostationary transfer orbit into a Moon-bound orbit are optimized with respect to minimum flight time.
Keywords :
aerospace control; aerospace propulsion; neurocontrollers; optimal control; Earth-bound geostationary transfer orbit; Moon-bound orbit; evolutionary neurocontrol; interplanetary low-thrust transfer problems; low-thrust Earth-Moon transfers; low-thrust propulsion; optimal control; steering problem; Aerospace engineering; Chemical technology; Earth; Moon; Optimal control; Probes; Propulsion; Space missions; Space technology; Space vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
Type :
conf
DOI :
10.1109/CEC.2009.4982969
Filename :
4982969
Link To Document :
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