螺旋桨转速受限多四旋翼无人机的编队运输分层控制方案OA
A Hierarchical Control Scheme for Formation Transportation of Multiple Quadrotors With Propeller Speed Constraints
多四旋翼无人机协同编队运输技术因其高容错性和强灵活性等特点,近年来受到广泛关注.针对受到螺旋桨转速约束和外界环境干扰影响的多四旋翼无人机系统,提出一种分层控制方案以实现多无人机协同编队运输.该方案设计主要包含分布式协调器设计和跟踪控制器设计.在分布式协调器中,位置协调器基于虚拟领导者的位置、速度等信息生成各带载无人机的期望位置,然后由微分平坦器输出无人机的期望无偏轨迹;跟踪控制器采用非线性模型预测控制、角速度控制以及螺旋桨转速分配算法相结合的策略,为各带载无人机生成合理的螺旋桨转速指令,确保无人机精确跟踪其期望轨迹.在所提方案作用下,多带载无人机能维持期望编队队形并跟踪虚拟领导者,从而实现多无人机协同编队运输.特别地,当省略位置协调器时,该方案可简化为单无人机轨迹跟踪控制器.数值仿真包括单机轨迹跟踪和多机协同运输两个场景,结果表明,在单机跟踪任务中,所提方案展现出良好的跟踪精度;在多机运输场景下,多无人机系统能够有效实现协同编队运输.
The cooperative formation transportation technology of multiple quadrotors has attracted widespread at-tention in recent years due to its high fault tolerance and remarkable flexibility.This paper proposes a hierarchical control scheme for multiple quadrotors subject to propeller speed constraints and external disturbances to achieve cooperative formation transportation.The design of the proposed scheme primarily consists of developing a distrib-uted coordinator and some tracking controllers.In the distributed coordinator,position coordinators generate the desired positions for all quadrotors with payload using information such as the position and velocity of a virtual leader.This is followed by differential flatness-based trajectory planners,which further derive the desired offset-free trajectories.The tracking controllers combine the nonlinear model predictive control,angular velocity control,and a propeller speed allocation algorithm to generate appropriate propeller speed commands for all quadrotors with pay-load,ensuring accurate trajectory tracking.Under the proposed scheme,multiple quadrotors with payload maintain the desired formation while tracking the virtual leader,thereby achieving cooperative formation transportation.Not-ably,when the position coordinators are omitted,the scheme simplifies to a single-quadrotor trajectory tracking controller.Numerical simulation results,including both single-quadrotor trajectory tracking and multiple quadro-tors cooperative transportation scenarios,demonstrate the effectiveness of the proposed scheme.Specifically,it achieves remarkable tracking performance in single-quadrotor operations,while enabling cooperative formation transportation in multiple quadrotors systems.
武权伟;王翔宇;刘金浩
东南大学自动化学院 南京 210096||复杂工程系统测量与控制教育部重点实验室 南京 210096东南大学自动化学院 南京 210096||复杂工程系统测量与控制教育部重点实验室 南京 210096中国矿业大学信息与控制工程学院 徐州 221116
多四旋翼无人机协同编队运输螺旋桨转速约束分层控制抗干扰控制非线性模型预测控制
multiple quadrotorscooperative formation transportationpropeller speed constraintshierarchical con-trolanti-disturbance controlnonlinear model predictive control
《自动化学报》 2026 (2)
322-334,13
国家自然科学基金(62533012,62373099,62025302),东南大学未来技术学院"太湖创新基金项目"资助Supported by National Natural Science Foundation of China(62533012,62373099,62025302)and Taihu Innovation Fund Project for the School of Future Technology of Southeast Uni-versity
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