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In this paper, we studied the unmanned aerial vehicle (UAV)-enabled wireless power transfer networks to maximize the sum harvesting energy problem with a nonlinear energy harvesting model. As the original sum energy maximization problem is non-convex problem, it is difficult to obtain the optimal placement of the UAV. To tackle this problem, the particle swarm optimization (PSO) algorithm is proposed to optimize the problem. Compared with the user-overhead traversal search (UOTS) algorithm and the heuristic algorithm, simulation results show the effectiveness of the proposed algorithm.