این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Aerospace Science and Technology، جلد ۱۳، شماره ۱، صفحات ۸۳-۸۹
عنوان فارسی Optimal Flight Trajectory Planning using Improved Evolutionary Method for UCAV Navigation in ۳D Constrained Environments
چکیده فارسی مقاله This article addresses a new approach to 3D path planning of UCAVs. To solve this NP-hard problem, imperialist competitive algorithm (ICA) was extended for path planning problem. This research is related to finding optimal trajectories before UCAV missions. Developed planner provides 3D optimal paths for UCAV flight with real DTM of Tehran environment. In UCAV mission, final computed paths should be smooth that made the path planning problems constrained. This planner can offer flyable 3D paths based on mission requirements. It’s a comprehensive study for efficiency evaluation of EA planners, and then novel approach will be proposed and compared to ICA, GA, ABC and PSO algorithms. Then path planning task of UCAV is performed. Simulations show advantage of proposed methodology.
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Optimal Flight Trajectory Planning using Improved Evolutionary Method for UCAV Navigation in 3D Constrained Environments
چکیده انگلیسی مقاله This article addresses a new approach to 3D path planning of UCAVs. To solve this NP-hard problem, imperialist competitive algorithm (ICA) was extended for path planning problem. This research is related to finding optimal trajectories before UCAV missions. Developed planner provides 3D optimal paths for UCAV flight with real DTM of Tehran environment. In UCAV mission, final computed paths should be smooth that made the path planning problems constrained. This planner can offer flyable 3D paths based on mission requirements. It’s a comprehensive study for efficiency evaluation of EA planners, and then novel approach will be proposed and compared to ICA, GA, ABC and PSO algorithms. Then path planning task of UCAV is performed. Simulations show advantage of proposed methodology.
کلیدواژه‌های انگلیسی مقاله Unmanned combat aerial vehicle (UCAV),Flight simulation,3D Trajectory Planning,Imperialist Competitive Algorithm
نویسندگان مقاله R.Ali Abbaspour |
Dept. of Surveying Engineering, College of Engineering, University of Tehran

A.A. Heidari |
Dept. of Surveying Engineering, College of Engineering, University of Tehran

نشانی اینترنتی https://jast.ias.ir/article_120342_3e04750ee0e37754f9e8331c873a8ff8.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات