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基于螺旋桨壁面效应的四旋翼无人机超机动栖息研究

李白杨1,祝小平1,周洲2,3,宫镆沙2,3,王睿2,3*   

  1. 1.西北工业大学 航天学院;2.西北工业大学 航空学院; 3.西北工业大学 飞行器基础布局全国重点实验室
  • 收稿日期:2025-04-02 修回日期:2025-06-30
  • 基金资助:
    特色学科基础研究项目(G2022WD)

Research on Aggressive Perching of Quadrotor UAVs Based on Propeller Wall Effect

LI Baiyang1,ZHU Xiaoping1,ZHOU Zhou2,3,GONG Mosha2,3,WANG Rui2,3*   

  1. 1.School of Astronautics,Northwestern Polytechnical University; 2.School of Aeronautics,Northwestern Polytechnical University; 3.National Key Laboratory of Aircraft Configuration Design, Northwestern Polytechnical University
  • Received:2025-04-02 Revised:2025-06-30

摘要: 针对四旋翼无人机持续作业任务中续航时间短的问题,提出一种基于螺旋桨壁面效应的气动栖息机构,通过负压吸附与壁面摩擦实现高效栖息。该机构基于螺旋桨壁面效应,通过螺旋桨与平面接近时产生的负压提高无人机推力,使无人机栖息状态相较于悬停状态降低71%的功耗。为了提高栖息成功率和超机动栖息过程中的稳定性,提出一种利用四旋翼无人机轨迹规划与控制方法,对无人机的位置、速度和姿态进行精确控制。考虑到无人机在接近墙壁过程中的超机动控制问题,按照无人机位置、姿态等约束条件设计轨迹规划方法,利用轨迹规划方法中的航点约束实现无人机姿态的平滑变化;通过几何控制方法对规划轨迹曲线进行精确跟踪,实现无人机对壁面的超机动栖息,并通过实物飞行实验验证新方法的可行性。

关键词: 四旋翼无人机, 平面栖息, 壁面效应, 轨迹跟踪控制, 超机动

Abstract: In order to solve the problem of limited endurance of quadrotor UAVs in sustained duty, a novel aerodynamic habitat mechanism based on the propeller wall effect was proposed, which achieved efficient habitat by negative pressure absorption and wall friction. The mechanism increases UAV thrust by using the negative pressure generated when the UAV propeller is close to the plane, reducing power consumption by 71% compared to hovering. In order to improve the success rate of perching and the stability during aggressive perching, a trajectory planning and control method using quadrotor UAVs is proposed, which can accurately control the position, velocity and attitude of UAVs. Considering the aggressive control problem of the drone during its approach to a wall, trajectory planning methods are designed according to the constraints of the position and attitude of the drone; By means of geometric control method, the planning trajectory curve is accurately tracked, and the aggressive perching of the UAV on the wall is achieved.

Key words: quadrotor, perching on surface, wall effect, trajectory tracking control, aggressive perching

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