中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Theoretical and experimental research on time-optimal trajectory planning and control of industrial robots

文献类型:期刊论文

作者Tan GZ(谭冠政); Wang YC(王越超)
刊名控制理论与应用
出版日期2003
卷号20期号:2页码:185-192
关键词Industrial Robot Time-optimal Trajectory Planning Trajectory Control Quadratic Polynomial Cosinoidal Function Optimization Algorithm
ISSN号1000-8152
其他题名工业机器人时间最优轨迹规划及轨迹控制的理论与实验研究
产权排序2
英文摘要A new method used for time-optimal trajectory planning and control of industrial robots is proposed, which can ensure the motion of a robot's hand along a specified path in Cartesian space has the minimum traveling time under the constraints on the boundary values of joint displacements, velocities, accelerations, and jerks. In this method, the planned joint trajectories are all expressed by a quadratic polynomial plus a cosinoidal function and are continuous not only in displacements, velocities, accelerations but also in jerks. By using the method, a robot's working efficiency can be raised and its life span can be extended. The results of computer simulation and experiment with a Unimate PUMA 560 type robot proves that this method is correct and effective. It provides a better solution to the problem of industrial robot's time-optimal trajectory planning and control under the nonlinear kinematical constraints.

语种英语
CSCD记录号CSCD:1331940
公开日期2010-11-29
源URL[http://210.72.131.170//handle/173321/3169]  
专题沈阳自动化研究所_机器人学研究室
作者单位1.Robotics Laboratory, Chinese Academy of Sciences
2.Institute of Robotics, Central South University
推荐引用方式
GB/T 7714
Tan GZ,Wang YC. Theoretical and experimental research on time-optimal trajectory planning and control of industrial robots[J]. 控制理论与应用,2003,20(2):185-192.
APA Tan GZ,&Wang YC.(2003).Theoretical and experimental research on time-optimal trajectory planning and control of industrial robots.控制理论与应用,20(2),185-192.
MLA Tan GZ,et al."Theoretical and experimental research on time-optimal trajectory planning and control of industrial robots".控制理论与应用 20.2(2003):185-192.

入库方式: OAI收割

来源:沈阳自动化研究所

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