Title :
Automated planning for a Deep Space Communications Station
Author :
Estlin, Tara ; Fisher, Forest ; Mutz, Darren ; Chien, Steve
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
This paper describes the application of artificial intelligence planning techniques to the problem of antenna track plan generation for a NASA Deep Space Communications Station. The described system enables an antenna communications station to automatically respond to a set of tracking goals by correctly configuring the appropriate hardware and software to provide the requested communication services. To perform this task, the automated scheduling and planning environment (ASPEN) has been applied to automatically produce antenna tracking plans that are tailored to support a set of input goals. In this paper, we describe the antenna automation problem, the ASPEN planning and scheduling system, how ASPEN is used to generate antenna track plans, the results of several technology demonstrations, and future work utilizing dynamic planning technology
Keywords :
aerospace control; antennas; knowledge based systems; planning (artificial intelligence); radio tracking; scheduling; space communication links; ASPEN; Deep Space Communications Station; NASA; antenna tracking; intelligence planning; knowledge based system; scheduling; Adaptive arrays; NASA; Radar antennas; Radar tracking; Radio navigation; Space stations; Space technology; Space vehicles; Spaceborne radar; Telecommunications;
Conference_Titel :
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-5180-0
DOI :
10.1109/ROBOT.1999.772558
