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《机械工程前沿(英文)》 2022年 第17卷 第1期 页码 3-3 doi: 10.1007/s11465-021-0659-x
关键词: ultrasound image guidance prostate percutaneous intervention parallel robot kinematics identification particle swarm optimization informative value
Inverse Kinematics Analysis of General 6R Serial Robot Mechanism Based on Groebner Base
WANG Yan, HANG Lu-bin, YANG Ting-li
《机械工程前沿(英文)》 2006年 第1卷 第1期 页码 115-124 doi: 10.1007/s11465-005-0022-7
This study presents a solution for the inverse kinematics problem in serial 6R manipulator. Using only seven equations composed of Duffy s four kinematical equations containing three angles and three corresponding angles identical equations instead of the traditional 14 equations, the authors reduced the inverse kinematics problem in the general 6R manipulator to a univariate polynomial with a minimum degree based on the Groebner Base method. From that, they concluded that the maximum number of the solutions is 16, generally. Also, the mathematics mechanization method can be extended to solve other mechanism problems involving nonlinear equations symbolically.
关键词: identical manipulator univariate polynomial mechanism traditional
Zi-wu REN,Zhen-hua WANG,Li-ning SUN
《信息与电子工程前沿(英文)》 2015年 第16卷 第7期 页码 607-616 doi: 10.1631/FITEE.14a0335
关键词: Inverse kinematics problem 8-DOF humanoid manipulator Biogeography-based optimization (BBO) Differential evolution (DE)
Fugui XIE,Xin-Jun LIU
《机械工程前沿(英文)》 2016年 第11卷 第2期 页码 135-143 doi: 10.1007/s11465-016-0389-7
This study introduces a high-speed parallel robot with Schönflies motion. This robot exhibits a promising prospect in realizing high-speed pick-and-place manipulation for packaging production lines. The robot has four identical limbs and a single platform. Its compact structure and single-platform concept provides this robot with good dynamic response potential. A line graph method based on Grassmann line geometry is used to investigate the mobility characteristics of the proposed robot. A generalized Blanding rule is also introduced into this procedure to realize mutual conversion between the line graphs for motions and constraints. Subsequently, the inverse kinematics is derived, and the singularity issue of the robot is investigated using both qualitative and quantitative approaches. Input and output transmission singularity indices are defined based on the reciprocal product in screw theory and the virtual coefficient by considering motion/force transmission performance. Thereafter, the singular loci of the proposed robot with specific geometric parameters are derived. The mobility analysis, inverse kinematics modeling, and singularity analysis conducted in this study are helpful in developing the robot.
关键词: parallel robot mobility inverse kinematics singularity transmission performance
General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of
《机械工程前沿(英文)》 2022年 第17卷 第2期 doi: 10.1007/s11465-022-0681-7
关键词: inverse kinematics Paden–Kahan subproblems three-joint subproblems product of exponential closed-form solution
Yue WANG, Jingjun YU, Xu PEI
《机械工程前沿(英文)》 2018年 第13卷 第3期 页码 368-375 doi: 10.1007/s11465-018-0519-5
A new forward kinematics algorithm for the mechanism of 3-RPS (R: Revolute; P: Prismatic; S: Spherical) parallel manipulators is proposed in this study. This algorithm is primarily based on the special geometric conditions of the 3-RPS parallel mechanism, and it eliminates the errors produced by parasitic motions to improve and ensure accuracy. Specifically, the errors can be less than 10-6 . In this method, only the group of solutions that is consistent with the actual situation of the platform is obtained rapidly. This algorithm substantially improves calculation efficiency because the selected initial values are reasonable, and all the formulas in the calculation are analytical. This novel forward kinematics algorithm is well suited for real-time and high-precision control of the 3-RPS parallel mechanism.
关键词: 3-RPS parallel mechanism forward kinematics numerical algorithm parasitic motion
Generation of closed-form inverse kinematics for reconfigurable robots
ZHAO Jie, WANG Weizhong, GAO Yongsheng, CAI Hegao
《机械工程前沿(英文)》 2008年 第3卷 第1期 页码 91-96 doi: 10.1007/s11465-008-0013-6
关键词: different effectiveness generation reconfigurable algebraic
Inverse kinematics analysis and numerical control experiment for PRS-XY style hybrid machining tool
JIA Dongyong, ZHANG Jianmin, SUN Hongchang, NIU Zhigang
《机械工程前沿(英文)》 2007年 第2卷 第2期 页码 235-238 doi: 10.1007/s11465-007-0041-7
Variational mode decomposition based modal parameter identification in civil engineering
Mingjie ZHANG, Fuyou XU
《结构与土木工程前沿(英文)》 2019年 第13卷 第5期 页码 1082-1094 doi: 10.1007/s11709-019-0537-3
关键词: modal parameter identification variational mode decomposition civil structure nonlinear system closely spaced modes
Non-convex sparse optimization-based impact force identification with limited vibration measurements
《机械工程前沿(英文)》 2023年 第18卷 第3期 doi: 10.1007/s11465-023-0762-2
关键词: impact force identification inverse problem sparse regularization under-determined condition alternating direction method of multipliers
The research on structural damage identification using rough set and integrated neural network
Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG
《机械工程前沿(英文)》 2013年 第8卷 第3期 页码 305-310 doi: 10.1007/s11465-013-0259-5
A huge amount of information and identification accuracy in large civil engineering structural damage identification has not been addressed yet. To efficiently solve this problem, a new damage identification method based on rough set and integrated neural network is first proposed. In brief, rough set was used to reduce attributes so as to decrease spatial dimensions of data and extract effective features. And then the reduced attributes will be put into the sub-neural network. The sub-neural network can give the preliminary diagnosis from different aspects of damage. The decision fusion network will give the final damage identification results. The identification examples show that this method can simplify the redundant information to reduce the neural network model, making full use of the range of information to effectively improve the accuracy of structural damage identification.
关键词: rough set integrated neural network damage identification decision making fusion
Oscillation frequency of simplified arterial tubes
Hui AN, Fan HE, Lingxia XING, Xiaoyang LI
《机械工程前沿(英文)》 2009年 第4卷 第3期 页码 300-304 doi: 10.1007/s11465-009-0038-5
关键词: spatial kinematics natural frequency finite element method
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0691-5
关键词: multifingered hand mechanism design robot safety variable stiffness actuator
Research on transmission principle and kinematics analysis for involute spherical gear
PAN Cun-yun, WEN Xi-sen, YANG Kun-yu, XU Xiao-jun, LIU Min, YAO Qi-shui
《机械工程前沿(英文)》 2006年 第1卷 第2期 页码 183-193 doi: 10.1007/s11465-006-0010-6
关键词: rotational transformation orientation Furthermore conjugate number
标题 作者 时间 类型 操作
Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle swarm optimization
期刊论文
Inverse Kinematics Analysis of General 6R Serial Robot Mechanism Based on Groebner Base
WANG Yan, HANG Lu-bin, YANG Ting-li
期刊论文
Ahybrid biogeography-based optimization method for the inverse kinematics problem of an 8-DOF redundant
Zi-wu REN,Zhen-hua WANG,Li-ning SUN
期刊论文
Analysis of the kinematic characteristics of a high-speed parallel robot with Schönflies motion: Mobility, kinematics
Fugui XIE,Xin-Jun LIU
期刊论文
General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of
期刊论文
Fast forward kinematics algorithm for real-time and high-precision control of the 3-RPS parallel mechanism
Yue WANG, Jingjun YU, Xu PEI
期刊论文
Generation of closed-form inverse kinematics for reconfigurable robots
ZHAO Jie, WANG Weizhong, GAO Yongsheng, CAI Hegao
期刊论文
Inverse kinematics analysis and numerical control experiment for PRS-XY style hybrid machining tool
JIA Dongyong, ZHANG Jianmin, SUN Hongchang, NIU Zhigang
期刊论文
Variational mode decomposition based modal parameter identification in civil engineering
Mingjie ZHANG, Fuyou XU
期刊论文
Non-convex sparse optimization-based impact force identification with limited vibration measurements
期刊论文
The research on structural damage identification using rough set and integrated neural network
Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG
期刊论文
Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous
期刊论文