Path Planning Strategies for UAV Based on Improved A* Algorithm
Zhan Wei-we · Wuhan Daxue xuebao. Xinxi kexue ban · 2015
This study proposes a modified A*algorithm to solve the problem of real-time unmanned air vehicle(UAV)path planning in a large 3Dbattlefield environment.Since the UAV has to meet the requirements of high survival rate and low fuel consumption in low-altitude penetration,the algorithm took the flight altitude,detected probability and flight length into consideration to search the optimal flight path between two waypoints.Meanwhile,to satisfy the UAV perfor-mance constraints,such as safety altitude,rate of climb,and radius of turn,the author suggested a series of optimization algorithms to get the final flyable path.Experimental results show that these algorithms have good convergence and high efficiency andprovided a optimal trajectory for decision-makers.