Abstract

It is more important in study of unmanned combat aerial vehicle (UCAV) path planning in military and civil field. This paper presents a new mathematical model and an improved heuristic algorithm based on Sparse A* Search (SAS) for UCAV path planning problem. In this paper, flight constrained conditions will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be investigated, and the effectiveness and the advantages of the models and algorithms will be validated.

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