Methodologies for the optimal design of parallel manipulators

作者
A. M. Hay,J. A. Snyman
出处
期刊:International Journal for Numerical Methods in Engineering [Wiley]
卷期号:59 (1): 131-152 被引量:36
标识
DOI:10.1002/nme.871
摘要

Abstract In this paper the problem of determining a manipulator design so that its workspace corresponds to a prescribed workspace is considered. Two different strategies, resulting in two different types of optimization problem are considered. The first strategy attempts to obtain a good overall approximation to the prescribed workspace and results in an unconstrained optimization problem. The second strategy entails designing a manipulator so that its workspace fully encloses the prescribed workspace and results in a constrained optimization problem. Two specific formulations of the constrained problem are proposed. The first constrained problem simply aims to fit the manipulator workspace as exactly as possible to the prescribed workspace, while still ensuring that the prescribed workspace is fully enclosed. The second constrained optimization formulation is used to design a manipulator, the workspace of which fully encloses the prescribed workspace, but which is also well‐conditioned throughout the workspace with respect to some performance measure. The particular manipulator used to illustrate and evaluate these formulations is a simple 2‐dof planar parallel manipulator, and the final formulation is also applied to a 3‐dof planar parallel manipulator. Although the manipulators studied here are simple, the objective of this study is to obtain a robust numerical methodology which can be extended to more practical and complex manipulators. Copyright © 2003 John Wiley & Sons, Ltd.

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
Jasper应助日月昭采纳,获得10
刚刚
1秒前
SciGPT应助天真薯片采纳,获得10
1秒前
2秒前
2秒前
xuan发布了新的文献求助10
2秒前
FashionBoy应助阿斯巴田采纳,获得10
2秒前
3秒前
cdercder应助呆呆的猕猴桃采纳,获得10
4秒前
ZZZZ发布了新的文献求助10
5秒前
wanci应助初景采纳,获得10
5秒前
多多发布了新的文献求助10
7秒前
陈咩咩发布了新的文献求助10
7秒前
优美冬瓜完成签到 ,获得积分10
7秒前
8秒前
8秒前
小通通完成签到 ,获得积分10
8秒前
xuan发布了新的文献求助10
9秒前
10秒前
Jerry20184完成签到 ,获得积分10
11秒前
11秒前
11秒前
12秒前
12秒前
吱吱吱吱完成签到 ,获得积分10
13秒前
Nole应助1104481279采纳,获得10
13秒前
Hello应助徐1采纳,获得10
13秒前
13秒前
叔白完成签到,获得积分10
13秒前
14秒前
情怀应助juanjie采纳,获得10
14秒前
Shawn发布了新的文献求助10
14秒前
Hello应助moshang采纳,获得10
15秒前
15秒前
oo完成签到,获得积分10
15秒前
啾啾发布了新的文献求助10
16秒前
共享精神应助好好学习采纳,获得10
16秒前
Yuan完成签到,获得积分10
17秒前
风轻发布了新的文献求助10
17秒前
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7581876
求助须知:如何正确求助?哪些是违规求助? 9160885
关于积分的说明 19601027
捐赠科研通 7164113
什么是DOI,文献DOI怎么找? 3266010
关于科研通互助平台的介绍 2430947
邀请新用户注册赠送积分活动 2257208