吉林大学学报(工学版) ›› 2026, Vol. 56 ›› Issue (7): 1798-1810.doi: 10.13229/j.cnki.jdxbgxb.20241340

• 车辆工程·机械工程 • 上一篇    

四旋翼吊运系统滑模抗摆控制方法

文斌1,2(),吕文丹2,梅启程2,魏雅慧3(),吴凯2   

  1. 1.梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北 宜昌 443002
    2.三峡大学 电气与新能源学院,湖北 宜昌 443002
    3.三峡大学 创新创业学院(大学生素质教育中心),湖北 宜昌 443002
  • 收稿日期:2024-12-18 出版日期:2026-07-01 发布日期:2026-08-12
  • 通讯作者: 魏雅慧 E-mail:wenbin_08@126.com;weiyahui@ctgu.edu.cn
  • 作者简介:文斌(1985-),男,讲师,博士.研究方向:鲁棒控制理论,非线性系统理论.E-mail:wenbin_08@126.com
  • 基金资助:
    国家自然科学基金项目(62273200);湖北省输电线路工程技术研究中心研究基金项目(2022KXL03);湖北省自然科学基金联合基金项目(2024AFD409)

Sliding mode anti-sway control methods for quadrotor transportation systems

Bin WEN1,2(),Wen-dan LV2,Qi-cheng MEI2,Ya-hui WEI3(),Kai WU2   

  1. 1.Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station(China Three Gorges University),Yichang 443002,China
    2.College of Electrical Engineering & New Energy,China ThreeGorges University,Yichang 443002,China
    3.Innovation and Entrepreneurship College(Undergraduate Quality Education Center),China Three Gorges University,Yichang 443002,China
  • Received:2024-12-18 Online:2026-07-01 Published:2026-08-12
  • Contact: Ya-hui WEI E-mail:wenbin_08@126.com;weiyahui@ctgu.edu.cn

摘要:

针对四旋翼吊运系统在运输任务中因负载摆动导致轨迹跟踪性能下降的问题,提出了一种基于非线性扩张状态观测器的非奇异快速滑模抗摆控制方案。通过Lagrange-Euler方程建立四旋翼吊运系统的动力学模型,并将系统分解为位置控制、姿态控制和摆角抑制3个子系统。针对各子系统分别设计非奇异快速滑模控制器,结合NESO对模型不确定性、外部扰动及传感器噪声进行实时估计与补偿。仿真结果表明:相较于无摆角抑制的控制方案,本文方法使负载摆角最大幅度减少约30%,摆动持续时间和负载振荡次数都大大降低,同时位置与姿态子系统的轨迹跟踪精度显著提升。该方案通过动态解耦与协同控制设计兼顾了系统鲁棒性与计算效率,为四旋翼吊运系统的工程应用提供了有效解决方案。

关键词: 导航制导与控制, 四旋翼吊运系统, 非奇异快速终端滑模, 非线性扩张状态观测器, 摆动抑制

Abstract:

A control scheme using non-singular fast sliding mode control and a Nonlinear Extended State Observer (NESO) is proposed to solve the problem of reduced trajectory tracking performance caused by load swinging during transport in quadrotor load transportation systems.First,the dynamic model of the quadrotor system is built using Lagrange-Euler equations.The system is divided into three parts: position control, attitude control, and swing angle suppression.Controllers are designed for each part.NESO is used to estimate and compensate for uncertainties,disturbances,and noise in real time.Simulations show that this method reduces the maximum load swing angle by about 30%,and significantly cuts swing duration and load oscillation times compared to methods without swing control.It also improves the trajectory tracking accuracy of position and attitude controls.This scheme balances robustness and efficiency through decoupled and coordinated control,offering a practical solution for quadrotor transportation systems.

Key words: navigation,guidance,and control, quadrotor transportation system, non-singular fast terminal sliding mode, nonlinear extended state observer, swing suppression

中图分类号: 

  • TP273

图1

四旋翼吊运系统结构示意图"

表1

建立模型所用变量解释"

符号意 义
x,y,z四旋翼质心的位置在惯性坐标系的位置坐标
M无人机的质量
α吊挂绳在yoz平面的投影与z轴的夹角
ω1?44个旋翼的转速
l四旋翼的轴距
?,θ,ψ绕机体坐标系xb,yb,zb三轴逆时针转动的角度
m负载的质量
β吊挂绳与yoz平面的夹角
g重力加速度
L吊挂绳的长度

图2

控制系统结构图"

表2

四旋翼吊运系统模型参数"

符号参数符号参数
M2.00 kgm0.40 kg
l0.20 mL0.30 m
Ix,Iy1.25 Ns2/radIz2.5 Ns2/rad

表3

滑模控制器参数"

符号参数符号参数
ax,y,z0.8cx,y,z0.5
k1(x,y,z)1k2(x,y,z)1
a?,θ,ψ,α,β5c?,θ,ψ,α,β1
k1(?,θ,ψ,α,β)2k2(?,θ,ψ,α,β)2

表4

三阶扩张状态观测器参数"

符号参数符号参数
μ1x,y,z100μ1(?,θ,ψ)50
μ2x,y,z50μ2(?,θ,ψ)10
μ3x,y,z20μ3(?,θ,ψ)10

图3

x、y方向上的轨迹跟踪和摆角抑制效果"

表5

重复实验结果"

负载质量/kg最大摆动幅度/rad摆动持续时间/s
有抑制无抑制有抑制无抑制
0.20.4560.7425.006>20
0.30.4560.7445.018>20
0.40.4560.7445.022>20
0.50.4550.7325.032>20
0.60.4540.7075.040>20

图4

姿态解算系统仿真结构"

图5

限幅滤波效果对比"

图6

姿态角与高度信号跟踪效果"

图7

各子系统扰动估计效果"

图8

选择不同趋近律的控制器抖振情况对比"

图9

在不同方法下四旋翼吊运系统负载摆角控制效果对比"

表6

控制性能对比"

指 标本文方法ADRC[16]BPNN-ADRC [17]
最大摆动幅度/rad0.4510.5950.574
摆动持续时间/s5.0225.2855.101
振荡次数/次132
[1] 赵振华, 肖亮, 姜斌, 等. 基于扩张状态观测器的四旋翼无人机快速非奇异终端滑模轨迹跟踪控制[J].控制与决策, 2022, 37(9): 2201-2210.
Zhao Zhen-hua, Xiao Liang, Jiang Bin,et al. Fast nonsingular terminal sliding mode trajectory tracking control of a quadrotor UAV based on extended state observers[J].Control and Decision,2022,37(9): 2201-2210.
[2] Duan D Y, Leng G, Gao J,et al.Load distribution strategy for multi-lift system with helicopters based on power consumption and robust adaptive game control[J].Chinese Journal of Aeronautics, 2023, 36(4):268-285.
[3] Ren Y, Liu Z J, Zhao Z J,et al.Adaptive active anti-vibration control for a 3-D helicopter flexible slung-load system with input saturations and backlash[J].IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(1): 320-333.
[4] 张思洁, 吴怀宇, 郑秀娟. 具有执行器故障的四旋翼无人机有限时间容错控制[J]. 控制理论与应用,2023, 40(7): 1270-1276.
Zhang Si-jie, Wu Huai-yu, Zheng Xiu-juan.Finite-time fault tolerant control of quadrotor UAV with actuator faults[J]. Control Theory & Applications, 2023, 40(7): 1270-1276.
[5] Yang S, Xian B, Cai J M,et al.Finite-time convergence control for a quadrotor unmanned aerial vehicle with a slung load[J].IEEE Transactions on Industrial Informatics,2024,20(1):605-614.
[6] Yu G, Xie W, Cabecinhas D,et al.Adaptive control with unknown mass estimation for a quadrotor-slung-load system[J].ISA Transactions, 2023, 133:412-423.
[7] 蔡佳明, 鲜斌. 基于事件驱动的无人机吊挂系统在线自适应轨迹规划[J]. 控制理论与应用, 2024, 41(5): 817-828.
Cai Jia-ming, Xian Bin.Event-driven based online adaptive trajectory planning for the UAV slung-payload transportation system[J].Control Theory & Applications, 2024, 41(5): 817-828.
[8] Li B, Li Y X, Yang P C,et al.Adaptive neural network-based fault-tolerant control for quadrotor-slung-load system under marine scene[J].IEEE Transactions on Intelligent Vehicles,2024, 9(1):681-691.
[9] 鲜斌, 张诗婧, 韩晓薇, 等. 基于强化学习的无人机吊挂负载系统轨迹规划[J].吉林大学学报: 工学版,2021, 51(6): 2259-2267.
Xian Bin, Zhang Shi-jing, Han Xiao-wei,et al.Trajectory planning for unmanned aerial vehicle slung-payload aerial transportation system based on reinforcement learning[J].Journal of Jilin University(Engineering and Technology Edition),2021,51(6):2259-2267.
[10] Zhang Z M, Peng X H, Zhang A C.Trajectory tracking control for quadrotor slung load system with unknown loads linear velocity and cable length[J].IEEE Transactions on Intelligent Vehicles,2024,9(1):2576-2587.
[11] 范云生, 陈欣宇, 赵永生, 等. 基于扩张状态观测器的四旋翼吊挂飞行系统非线性控制[J]. 自动化学报, 2023, 49(8): 1758-1770.
Fan Yun-sheng, Chen Xin-yu, Zhao Yong-sheng,et al.Nonlinear control of quadrotor suspension system based on extended state observer[J].IEEE/CAA Journal of Automatica Sinica, 2023, 49(8): 1758-1770.
[12] 胡钰斌. 四旋翼吊挂系统拉格朗日建模及非线性控制研究[D]. 青岛: 青岛理工大学信息与控制工程学院, 2023.
Hu Yu-bin.Research on Lagrange modeling and nonlinear control of quadrotor hanging system[D].Qing dao: School of Information and Control Engineering,Qingdao Technological University,2023.
[13] 时晓宇. 无人机飞控系统的故障诊断与容错控制技术研究[D]. 成都: 电子科技大学自动化工程学院, 2021.
Shi Xiao-yu.Research on fault diagnosis and fault-tolerant control technology of UAV flight control system[D]. Cheng du: School of Automation Engineering, University of Electronic Science and Technology of China, 2021: 23-29.
[14] 赵希梅, 孙文浩, 金鸿雁. 基于扩张状态观测器的永磁直线同步电机改进模型预测电流控制[J].电机与控制学报, 2024, 28(7): 34-42.
Zhao Xi-mei, Sun Wen-hao, Jin Hong-yan.Improved model predictive current control based on extended state observer for permanent magnet linear synchronous motor[J].Electric Machines and Control,2024,28(7): 34-42.
[15] Khoo S Y, Xie L H, Zhao S K,et al.Multi-surface sliding control for fast finite-time leader-follower consensus with high order SISO uncertain nonlinear agents[J].International Journal of Robust and Nonlinear Control,2014,24:2388-2404.
[16] 马伟杰, 郭玉英. 基于视觉伺服的四旋翼吊挂抗摆控制方法[J].兵器装备工程学报, 2024, 45(4): 268-277.
Ma Wei-jie, Guo Yu-ying.Visual servo based anti-swing control method for quadrotor UAV with a cable-suspended load[J].Journal of Ordnance Equipment Engineering, 2024, 45(4): 268-277.
[17] 杨小强, 郭玉英. 基于BPNN参数整定的四旋翼吊挂自抗扰飞行控制[J]. 飞行力学, 2023, 41(3): 47-53, 60.
Yang Xiao-qiang, Guo Yu-ying.ADRC flight control of quardrotor with cable-suspended load by BPNN-based parameters turning[J].Flight Dynamics, 2023, 41(3): 47-53, 60.
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