移动机械臂的层级聚合建模方法研究

董方方; 杨超; 韩江; 张新荣

doi:10.21656/1000-0887.440025

移动机械臂的层级聚合建模方法研究

doi: 10.21656/1000-0887.440025

董方方^{1, 2,},
杨超¹,
韩江^{1, 2},
张新荣^3, ,

1.
合肥工业大学机械工程学院，合肥 230009
2.
安徽省智能数控技术及装备工程实验室, 合肥 230009
3.
长安大学陕西省高速公路施工机械重点实验室，西安 710064

基金项目:

国家自然科学基金项目 52275484

安徽省自然科学基金项目 2208085ME126

详细信息

作者简介:
董方方(1988—)，男，副教授，博士，硕士生导师(E-mail: fangfangdong@hfut.edu.cn)

通讯作者:
张新荣(1968—)，男，教授，博士，硕士生导师(通讯作者. E-mail: zhangxinrong_chd@163.com)

中图分类号: O313.3;TH113
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- 文章访问数: 312
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- 被引次数: 0
出版历程
- 收稿日期: 2023-02-02
- 修回日期: 2023-08-06
- 刊出日期: 2023-12-01

A Hierarchical Aggregation Modelling Method for Mobile Manipulators

DONG Fangfang^{1, 2
,},
YANG Chao¹,
HAN Jiang^{1, 2},
ZHANG Xinrong^{3
, ,}

1.
School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, P.R.China
2.
Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment, Hefei 230009, P.R.China
3.
Shaanxi Province Key Laboratory of Highway Construction Machinery, Chang'an University, Xi'an 710064, P.R.China

摘要

摘要: 移动机械臂因机械臂在动态作业过程中的耦合效应会影响移动平台的运动特性，增加了整个系统的复杂度和非线性，给系统建模带来了极大挑战. 为此提出了一种新的层级聚合建模方法. 该方法依据分析力学中Udwadia-Kalaba(U-K)理论的层级属性，首先将移动机械臂划分为3个子系统，并分别利用Lagrange方程建立各自的无约束动力学模型，然后基于移动机械臂机械结构上的约束利用Udwadia-Kalaba基本方程(UKE)建立整体系统模型. 此外，针对系统存在初始条件偏差的情况，利用基于Lyapunov稳定性理论来补偿初始条件偏差，以达到收敛理想轨迹的目的. 仿真结果验证了该文所提出的建模方法的可行性.
- Udwadia-Kalaba方法 /
- 层级聚合建模方法 /
- 移动机械臂 /
- 动力学建模
Abstract: The coupling effects of mobile manipulators on the motion characteristics of mobile platforms during the dynamic operation process, would increase the complexity and nonlinearity of the whole system and then bring great challenges to the system modelling. A new hierarchical aggregation modelling method was proposed to solve this issue. The method is based on the hierarchical properties of the Udwadia-Kalaba (UK) theory in the analytical mechanics. First, the mobile manipulator was divided into 3 subsystems, and the unconstrained dynamics of each one was modelled with the Lagrangian equations. Subsequently, the basic Udwadia-Kalaba equations (UKE) were employed to model the overall system, in view of the constraints within the mechanical structure of the mobile manipulator. In addition, the Lyapunov stability-based theory was used to compensate for the initial condition deviations to achieve convergence of the ideal trajectory. Simulation results validate the feasibility of the proposed modelling method.
- Udwadia-Kalaba method /
- hierarchical aggregation modelling method /
- mobile manipulator /
- dynamical modelling

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图 1 单摆系统

Figure 1. A single pendulum system

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图 2 移动机械臂子系统分割图

Figure 2. Partition of the mobile manipulator subsystem

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图 3 移动机械臂坐标示意图

Figure 3. Coordinate systems for the mobile manipulator

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图 4 移动平台结构示意图

Figure 4. Schematic diagram of the mobile platform structure

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图 5 子系统S₂₁和S₃₁示意图

Figure 5. Diagrams of subsystem S₂₁ and S₃₁

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图 6 移动平台轨迹

Figure 6. Mobile platform trajectories

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图 7 机械臂各关节轨迹

Figure 7. Trajectories of each joint of the manipulator

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图 8 移动平台与机械臂各自轨迹误差

Figure 8. The respective trajectory errors of the mobile platform and the manipulator

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图 9 层级聚合方法与拉氏方法计算效率对比

Figure 9. Comparison of computation efficiency between the hierarchical aggregation method and the Lagrange method

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图 10 移动平台和末端执行器的轨迹

Figure 10. The mobile platform and the end-effector trajectories

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图 11 移动平台各方向轨迹图

Figure 11. Trajectory diagram for mobile platform in all directions

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图 12 移动平台和末端执行器的轨迹误差

Figure 12. The mobile platform and end-effector trajectory errors

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图 13 移动平台和关节的约束力

Figure 13. The mobile platforms and joint constraints

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表 1 机械臂-移动平台质量比^[1]

Table 1. Robotic arm-mobile platform mass ratios^[1]

research institution	robotic arm mass m_r/kg	platform mass m_p/kg	mass ratio δ
University of Texas^[2]	3.68	17.25	0.21
Ryerson University^[3]	15.50	44.40	0.35
Hokkaido University^[4]	4.40	20.56	0.21
Pukyong National University^[5]	2.85	9.50	0.30
Iran University of Science and Technology^[6]	0.72	6.00	0.12
Institute of Automation, CAS^[7]	7.50	60.00	0.13
South China University of Technology^[8]	2.00	10.00	0.20

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表 2 机械臂几何参数

Table 2. Geometric parameters of the manipulator

joint number	α_i-1/(°)	a_i-1	d_i	θ_i
1	0	0	0	θ₁
2	90°	0	l₁	θ₂
3	0	l₂	0	θ₃
4	0	l₃	0	0

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表 3 系统动力学参数表

Table 3. System dynamics parameters

object	mass m/kg	length l/m	moment of inertia I/(kg·m²)
mobile platform	50		2
joint 1	2	0.5	0.625
joint 2	3	0.7	0.122 5
joint 3	2	0.5	0.042
end-effector	0.5	0.1	0.000 4

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表 4 约束条件参数

Table 4. Constraint parameters

constraint		initial condition
$\begin{gathered}F_1: x(t)=\frac{\pi}{2} t; F_2: y(t)=\sin \left(\frac{\pi}{2} t\right); \\ F_3: \varphi(t)=\cos \left(\frac{\pi}{2} t\right); \\ F_4: x_{\mathrm{mp}}(t)=0.75+0.25 \cos (\pi t); \\ F_5: y_{\mathrm{mp}}(t)=\frac{0.25 \sqrt{2}}{2} \sin (\pi t); \\ F_6: z_{\mathrm{mp}}(t)=0.25-\frac{0.25 \sqrt{2}}{2} \sin (\pi t)\end{gathered}$		$\begin{gathered}x_0=1; y_0=1; \varphi_0=0; \\ \theta_1=-\frac{\pi}{2}; \theta_2=\frac{\pi}{2}; \theta_3=\frac{\pi}{6}; \\ \dot{x}_0=1; \dot{y}_0=1; \dot{\varphi}_0=0; \\ \dot{\theta}_1=-\frac{\pi}{2}; \dot{\theta}_2=\frac{\pi}{2}; \dot{\theta}_3=\frac{\pi}{6}\end{gathered}$

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