Dynamics Modeling and Redundant Force Optimization of Modular Combination Parallel Manipulator

被引:1
|
作者
Jiang, Aimin [1 ,2 ]
Han, Hasiaoqier [1 ,2 ]
Han, Chunyang [1 ]
He, Shuai [1 ]
Xu, Zhenbang [1 ]
Wu, Qingwen [1 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, 3888 Dong Nanhu Rd, Changchun 130033, Peoples R China
[2] Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
parallel manipulator; force optimization; module; dynamics; redundant drives; PSO; INVERSE DYNAMICS; MECHANISM;
D O I
10.3390/machines11020247
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The limb-driving force mutation of the modular combination parallel manipulator (MCPM) affects the alignment process of optical axis. In this paper, a novel optimization method based on the force mutation penalty term is proposed to solve the problem of driving force mutation. The kinematics and dynamics models of the manipulator are established using a modularization idea, reducing the complexity of the modeling process, and verified using co-simulation. Moreover, particle swarm optimization (PSO) is applied as an optimization tool. The effectiveness of the proposed method is confirmed by comparing it with the minimize-the-maximum and Moore-Penrose (M-P) methods, which are widely used to solve parallel manipulators with redundant drives.
引用
收藏
页数:19
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