亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution

冗余(工程) 加速度 控制理论(社会学) 雅可比矩阵与行列式 计算机科学 角加速度 数学优化 数学 人工智能 物理 应用数学 控制(管理) 经典力学 操作系统
作者
Yinyan Zhang,Shuai Li,Jie Gui,Xin Luo
出处
期刊:IEEE Transactions on Industrial Informatics [Institute of Electrical and Electronics Engineers]
卷期号:14 (3): 921-930 被引量:96
标识
DOI:10.1109/tii.2017.2737363
摘要

Manipulators are subject to physical constraints at different levels, i.e., joint angle limits, joint velocity limits, and acceleration limits. Effective resolution of redundant manipulators with compliance to the physical constraints is a fundamental issue for safe operation. Existing results generally resolve the manipulator redundancy either at the velocity level or the acceleration level. On the one hand, the velocity-level redundancy resolution scheme is able to deal with the joint angle and joint velocity limits successfully but cannot address the joint acceleration limit. On the other hand, although the existing acceleration-level redundancy resolution scheme is able to overcome the failure of the velocity-level one in complying with acceleration constraints, it is at the cost of making the system equation more complicated, e.g., the dependence on the time derivative of the Jacobian matrix. Whether it is possible to conduct redundancy resolution at the velocity level but with the compliance to joint angle constraints, joint velocity constraints, and joint acceleration constraints remains an open problem in past decades. This paper gives a positive answer to this pending problem by providing a novel scheme. In the proposed scheme, the redundancy resolution problem is formulated as a quadratic program (QP) subject to joint angle, velocity, and acceleration constraints with the joint velocity being the decision variable and joint velocity norm as the performance index, which is widely adopted and closely related to the energy consumption. Then, a projection neural network is designed and proposed to online solve the problem with the joint acceleration constraint handled. Theoretical analysis is performed to guarantee the global convergence of the proposed projection neural network to the optimal solution to the redundancy resolution problem. Besides, simulation results based on a PUMA 560 industrial manipulator are presented and compared to verify the theoretical result and substantiate the efficacy and superiority of the proposed scheme.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
万能图书馆应助好的采纳,获得10
1秒前
1秒前
4秒前
taku完成签到 ,获得积分0
4秒前
吟賞烟霞完成签到,获得积分10
8秒前
晒晒太阳发布了新的文献求助10
9秒前
10秒前
louis861933完成签到,获得积分10
10秒前
好的发布了新的文献求助10
14秒前
无奈的琦完成签到,获得积分10
14秒前
GingerF应助anugraphics采纳,获得100
16秒前
17秒前
Kao应助科研通管家采纳,获得10
21秒前
科目三应助科研通管家采纳,获得10
21秒前
Kao应助科研通管家采纳,获得10
21秒前
Kao应助科研通管家采纳,获得10
21秒前
科研通AI6.2应助陈奕宏采纳,获得10
22秒前
23秒前
阳光萝完成签到,获得积分10
27秒前
田大明发布了新的文献求助10
29秒前
科研通AI6.2应助Jenny采纳,获得10
31秒前
CodeCraft应助整齐成仁采纳,获得10
33秒前
秋风应助好的采纳,获得10
42秒前
小二郎应助海洋球采纳,获得10
45秒前
羊羊完成签到,获得积分10
50秒前
53秒前
55秒前
海洋球发布了新的文献求助10
57秒前
真实的瑾瑜完成签到 ,获得积分10
59秒前
陈奕宏发布了新的文献求助10
1分钟前
顾白凡完成签到,获得积分0
1分钟前
顺心安雁完成签到,获得积分10
1分钟前
笑点低的惊蛰完成签到,获得积分20
1分钟前
1分钟前
1分钟前
香蕉觅云应助灵巧绿海采纳,获得10
1分钟前
1分钟前
1分钟前
LELE完成签到 ,获得积分0
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7765626
求助须知:如何正确求助?哪些是违规求助? 9309838
关于积分的说明 20312686
捐赠科研通 7350386
什么是DOI,文献DOI怎么找? 3314941
关于科研通互助平台的介绍 2464368
邀请新用户注册赠送积分活动 2329411