Computer-Automated Evolution of an X-Band Antenna for NASA’s Space Technology 5 Mission
Gregory. S. Hornby Gregory.S.Hornby@nasa.gov University Affiliated Research Center, NASA Ames Research Park, UC Santa Cruz at Moffett Field, California, 94035 Jason D. Lohn [email protected] Carnegie Mellon University, NASA Ames Research Park and Moffett Field, California 94035 Derek S. Linden [email protected] X5 Systems, Inc., Ashburn, Virginia 20147
Abstract Whereas the current practice of designing antennas by hand is severely limited because it is both time and labor intensive and requires a significant amount of domain knowl- edge, evolutionary algorithms can be used to search the design space and automatically find novel antenna designs that are more effective than would otherwise be developed. Here we present our work in using evolutionary algorithms to automatically design an X-band antenna for NASA’s Space Technology 5 (ST5) spacecraft. Two evolution- ary algorithms were used: the first uses a vector of real-valued parameters and the second uses a tree-structured generative representation for constructing the antenna. The highest-performance antennas from both algorithms were fabricated and tested and both outperformed a hand-designed antenna produced by the antenna contractor for the mission. Subsequent changes to the spacecraft orbit resulted in a change in requirements for the spacecraft antenna. By adjusting our fitness function we were able to rapidly evolve a new set of antennas for this mission in less than a month. One of these new antenna designs was built, tested, and approved for deployment on the three ST5 spacecraft, which were successfully launched into space on March 22, 2006. This evolved antenna design is the first computer-evolved antenna to be deployed for any application and is the first computer-evolved hardware in space. Keywords Antenna, automated design, computational design, evolutionary design, generative representation, spacecraft.
1 Introduction
The current practice of designing and optimizing antennas by hand is limited in its ability to develop new and better antenna designs because it requires significant do- main expertise and is both time and labor intensive. With this approach, an antenna engineer will select a particular class of antennas and then spend weeks or months testing and adjusting a design, mostly in simulation using electromagnetics modeling