Title :
Equivalence of position-level and velocity-level redundancy-resolution schemes
Author :
Zhang, Yunong ; Wu, Huarong ; Xiao, Lin ; Fu, Senbo
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
Abstract :
After widely investigating the velocity-level redundancy resolution schemes for redundant robot manipulators, we focus one of our research directions on the relationship between different-level schemes, e.g., between position-level and velocitylevel redundancy-resolution schemes. In this paper, we propose a novel viewpoint; that is, there exists an equivalence between some position-level and velocity-level redundancy-resolution schemes. To demonstrate such a viewpoint, two theoretical proofs, based on the gradient-descent method and Zhang et al´s neural-dynamic method, are presented in this paper. Moreover, such two different-level schemes are solved by employing two different methods, i.e., MATLAB routine “FMINCON” and linear-variational-inequality (LVI) based primal dual neural network (in short, LVI-PDNN). Computer-simulation results based on a five-link planar robot arm not only verify the equivalence of position-level and velocitylevel redundancy-resolution schemes, but also demonstrate the superiority of the velocity-level redundancy-resolution scheme, as compared with the position-level redundancy-resolution scheme.
Keywords :
mobile robots; neurocontrollers; position control; redundant manipulators; velocity control; LVI-based primal dual neural network; MATLAB routine FMINCON; computer simulation; different-level schemes; five-link planar robot arm; gradient-descent method; linear-variational-inequality-based primal dual neural network; neural-dynamic method; position-level redundancy-resolution schemes; redundant robot manipulators; velocity-level redundancy-resolution schemes; Equations; MATLAB; Manipulators; Performance analysis; Trajectory; Vectors; Equivalence; Position-level; Redundancy resolution; Robot manipulators; Schemes;
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
DOI :
10.1109/ICMA.2012.6284335