Research on Multimodal Optimal Trajectory Search Using Dynamically Distributed Genetic Algorithm and Its Flight Verification by UAV

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K06604
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Aerospace engineering
• Research Institution: Kyushu Institute of Technology
• Principal Investigator: Yonemoto Koichi 九州工業大学, 大学院工学研究院, 教授 (80404101)
• Co-Investigator(Kenkyū-buntansha): 藤川 貴弘 九州工業大学, 大学院工学研究院, 助教 (40781795)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 遺伝的アルゴリズム / 多峰性最適軌道探索 / UAV飛行実証

Outline of Final Research Achievements

Dynamically Distributed Genetic Algorithm named “Dyn DGA”has been developed, which is applicable to the search of multimodal optimal solution by dividing population successively into small islands during the process of evolution using hierarchal clustering of individuals, has been developed and implemented in a FPGA (Field Programmable Gate Array). A practical application plan to real-time optimal trajectory generation and guidance system is proposed by the flight verification test using small and unmanned aerial vehicles.

Free Research Field

航空宇宙工学