Trajectory Optimization Using Algorithm and Its Implementation on FPGA for Real Time System
As the space activities expand in recent years, the space transportation between the earth and space is more and more activated. The Space Systems Laboratory of Kyushu Institute of Technology has been conducting suborbital winged rocket development project as a search project of fully reusable space transportation systems. This paper proposes a trajectory optimization method using Genetic Algorithm (GA) and its implementation on Field Programmable Gate Array (FPGA) to be applied to the winged rocket aiming at the onboard real time guidance system. The trajectory optimization is performed on the return flight phase of the winged rocket with flight area constraint. GA is an algorithm to solve optimization problems by employing the evolution system of life. GA has an advantage that the global search is acceptable, but has a disadvantage that the calculation cost is extremely higher than the other mathematical programming. The optimization with flight area constraint becomes possible by the use of the penalty method. In order to increase the searching performance, the crossover method and the generation alternation models are compared. An onboard real-time calculation system is designed by the implementation on FPGA, which user can freely connect wiring in LSI (Large Scale Integration) using software coding.
Optimal Trajectory Generation Genetic Algorithm FPGA Winged Rocket
Shintaro Miyamoto Koichi Yonemoto
Department of Mechanical and Control Engineering, Kyushu Institute of Technology,Fukuoka,Japan Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Fukuoka,Japan
国际会议
2010 Asia-Pacific International Symposium on Aerospace Technology(2010 亚太航空航天技术研讨会 APISAT 2010)
西安
英文
648-651
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）