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Affiliation of Author(s):航天学院

Title of Paper:A Two-Stage Method for UCAV TF/TA Path Planning Based on Approximate Dynamic Programming

Journal:MATHEMATICAL PROBLEMS IN ENGINEERING

Abstract:We present a two-stage method for solving the terrain following (TF)/terrain avoidance (TA) path-planning problem for unmanned combat air vehicles (UCAVs). The 1st stage of planning takes an optimization approach for generating a 2D path on a horizontal plane with no collision with the terrain. In the 2nd stage of planning, an optimal control approach is adopted to generate a 3D flyable path for the UCAV that is as close as possible to the terrain. An approximate dynamic programming (ADP) algorithm is used to solve the optimal control problem in the 2nd stage by training an action network to approximate the optimal solution and training a critical network to approximate the value function. Numerical simulations indicate that ADP can determine the optimal control variables for UCAVs; relative to the conventional optimization method, the optimal control approach with ADP shows a better performance under the same conditions.

ISSN No.:1024-123X

Translation or Not:no

Date of Publication:2018-01-01

Co-author:陈昊翔,杨毅

Correspondence Author:Nan Ying