Design, Analysis, and Test of a Novel 2-DOF Spherical Motion Mechanism

被引:4
|
作者
Bian, Bin [1 ]
Wang, Liang [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Spherical motion mechanism; kinematic modeling; motion performance; dynamic modeling; radial basis function neural network-based sliding mode control; SLIDING MODE CONTROL; PARALLEL MANIPULATORS; KINEMATIC ANALYSIS; SINGULARITY; WORKSPACE;
D O I
10.1109/ACCESS.2020.2981548
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel two degree-of-freedom (DOF) ball-joint-like hydraulic spherical motion mechanism (SMM) for use in robotic applications is proposed to achieve smooth spherical motion in all directions. Unlike traditional systems that use serial or parallel mechanisms for generating multi-DOF rotations, the proposed SMM is capable of producing continuous 2-DOF rotational motions in a single joint without intermediate transmission mechanisms. The proposed SMM has a compact structure, low inertia, and high stiffness. First, the architecture and operating principle of the proposed SMM is introduced. Then, the kinematic model is established using Euler transformation, following which factors (such as workspace and dexterity) that have an impact on motion performance are evaluated. As the foundation of dynamics analysis and controller design, the Lagrange & x2019;s equations of the second kind are used to establish the dynamic model. To achieve high tracking accuracy, the radial basis function neural network & x2013;based sliding mode controller is applied to the mechanism. The simulation results indicate that the designed controller not only improves trajectory tracking capability but also enhances robustness against external disturbance and system uncertainty. Finally, experiments are performed on a prototype SMM to validate the performance of the proposed SMM and evaluate the control method.
引用
收藏
页码:53561 / 53574
页数:14
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