Performance Analysis and Optimization of Parallel Manipulators

by Qinchuan Li, Chao Yang, Lingmin Xu, Wei Ye

Overview

This book investigates the performance analysis and optimization design of parallel manipulators in detail. It discusses performance evaluation indices for workspace, kinematic, stiffness, and dynamic performance, single- and multi-objective optimization design methods, and ways to improve optimization design efficiency of parallel manipulators. This book collects the authors’ research results previously scattered in many journals and conference proceedings and presents them in a unified form after the methodical edition. As a result, numerous performance analyses and optimization of parallel manipulators are presented, in which the readers in the robotics community may be greatly interested. More importantly, readers can use the methods and tools introduced in this book to carry out performance evaluation and optimization of parallel manipulators by themselves. The book can provide important reference and guideline for undergraduate and graduate students, engineers, and researchers who are interested in design and application of parallel manipulators.

Product Details

ISBN-13:	9789819905423
Publisher:	Springer-Verlag New York, LLC
Publication date:	06/02/2023
Series:	Research on Intelligent Manufacturing
Sold by:	Barnes & Noble
Format:	eBook
File size:	58 MB
Note:	This product may take a few minutes to download.

About the Author

Qinchuan Li, born in 1975, is currently a professor and a Ph.D. supervisor at Zhejiang Sci-Tech University, China. He received his Ph.D. degree in mechanism design and theory

from Yanshan University, China, in 2003. His research interests include mechanism theory and application of parallel manipulators and minimally invasive surgical robots. He has published more than 80 refereed full papers in engineering design and robotics journals. He received the financial support of the National Science Foundation for Distinguished Young Scholars in 2015.

Chao Yang, born in 1982, received a B.E. degree in Process Equipment and Control Engineering from Zhengzhou University of Light Industry, Zhengzhou, China, in 2005, an M.E. degree in engineering mechanics from Dalian University of Technology, Dalian, China, in 2009, and a Ph.D. degree in mechanical engineering from Zhejiang Sci-Tech University, Hangzhou, China, in 2019. Dr. Chao Yang joined the faculty of mechanical engineering, Jiaxing University, in 2019, where he is currently a lecturer. His main research interests include kinematics, stiffness, dynamics, and multi-objective optimization of parallel manipulators. Since 2018, Dr. Yang has published 11 peer-reviewed technical papers in international journals and conferences.

Lingmin Xu, born in 1993, received his B.E. and Ph.D. degrees in Mechanical Engineering from Zhejiang Sci-Tech University, Hangzhou, China, in 2015 and 2021, respectively. From November 2018 to November 2019, he was a visiting graduate student at the University of Illinois at Chicago, Chicago, USA. Dr. Xu is currently a postdoc with the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. He has authored more than 20 articles in journals and conferences. He has applied for more than 20 patents and authorized a U.S. invention patent as the first inventor. His research interests include type synthesis, kinematics performance evaluation, and dynamics of parallel manipulators.

Wei Ye, born in 1988, is currently an associate professor at Zhejiang Sci-Tech University, China. He received his Ph.D. degree on mechanism design and theory from Beijing Jiaotong University, China, in 2016. His research interests include design and analysis of reconfigurable parallel mechanisms. He has published more than 30 refereed full papers in the field of mechanisms and robotics.

Table of Contents

1 Introduction.- 2 Basics of mathematics.- 3 Kinematic performance analysis and optimization of parallel manipulators without actuation redundancy.- 4 Motion/Force transmission performance analysis and optimization of parallel manipulators with actuation redundancy.- 5 Motion/Force constraint performance analysis and optimization of overconstrained parallel manipulators with actuation redundancy.- 6 Elastostaic stiffness evaluation and optimization of parallel manipulators.- 7 Multi-objective optimization of parallel manipulators using game algorithm.- 8 Hybrid algorithm for multi-objective optimization design of parallel manipulators.- 9 Multi-objective optimization design and sensitivity analysis of parallel manipulators.- 10 Multi-objective optimization design of parallel manipulators based on the principal component analysis.