Analysis and Optimization for Balancing Mechanism of High-Speed & Heavy-Load Manipulators
Author(s) -
Yongfei Xiao,
Shuhui Bi,
Xuelin Wang,
Xiangdong Li,
Xinjian Fan
Publication year - 2014
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2014.p0622
Subject(s) - payload (computing) , computer science , control theory (sociology) , mechanism (biology) , lagrange multiplier , nonlinear system , energy consumption , manipulator (device) , mechanism design , robot , control engineering , mathematical optimization , engineering , mathematics , control (management) , artificial intelligence , computer network , philosophy , physics , epistemology , quantum mechanics , network packet , electrical engineering , mathematical economics
Balancing mechanism of robotsHeavy-load manipulators usually have a balance to minimize energy consumption and maximize payload capacity. Appropriate design parameters are important to balancing devices in improving performance. We propose evaluating optimal parameters to achieve the best possible manipulator motion features. A dynamic manipulator model with a parallel-link mechanism is analyzed using the Lagrange principal. We also propose a way to reduce nonlinear influence while improving payload capacity. The optimized method is used for instructing how to design and optimize heavyload manipulators, as shown through simulation and experiments.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom