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Three Dimensional Path Planning Based on Modified Potential Model for UAV Collision Avoidance

机译:基于修改潜在模型的UAV碰撞避免的三维路径规划

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As the missions of Unmanned Aerial Vehicle (UAV) increase in the various areas, UAV should accomplishgiven tasks under the wide variety of environments. Considering the situations of penetrating into the enemy territory, UAV has to make a detour around radars and ground-to-air missile sites to accomplish the mission. In this study, potential field method based on the information of terrains and obstacles is proposed to avoid dynamic obstacles and to follow the terrain. Improved potential field method defines a new attractive potential function with regard to goal, altitude, relative height from the terrain and a new repulsive potential function with regard to relative position, velocity between the UAV and the obstacles, and relative height deal with the terrain. In three dimensional environments, the classical potential function tends to have many local minima. In order to address local minima problem, direction of attractive potential field for the goal has suggested with the direction of the gradient of the terrain toward the goal at the current position of the UAV. Numerical simulation demonstrates the effectiveness of the improved potential field method.
机译:由于无人驾驶车辆的任务(UAV)增加了各个领域,UAV应该在各种环境下完成任务。考虑到渗透到敌人领域的情况,无人机必须在雷达和地上导弹网站周围绕道而行,以完成使命。在这项研究中,提出了基于地形和障碍信息的潜在场方法来避免动态障碍并遵循地形。改进的潜在场方法定义了关于目标,高度,来自地形的相对高度的新有吸引力的潜在功能以及关于相对位置,无人机与障碍物之间的速度以及与地形相对高度协商的新的排斥潜在功能。在三维环境中,经典势函数往往有许多局部最小值。为了解决局部最小问题,对于目标的潜在场的方向已经提出了地形朝向无人机当前位置的目标的方向。数值模拟表明了改进的电位现场方法的有效性。

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