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Model-based joint and task space control strategies for a kinematically redundant parallel manipulator

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Author(s):
de Carvalho Fontes, Joao Vitor ; Colombo, Fernanda Thais ; Floro da Silva, Natassya Barlate ; da Silva, Maira Martins
Total Authors: 4
Document type: Journal article
Source: ROBOTICA; v. 40, n. 5, p. 17-pg., 2022-05-01.
Abstract

One alternative to overcome the presence of singularities within Parallel Manipulators' workspace is kinematic redundancy. This design alternative can be realized by adding an extra active joint to a kinematic chain. Due to this addition, the IKM presents an infinite number of solutions requiring a redundancy resolution scheme. Moreover, Parallel Manipulators' control may require complex strategies due to their coupled and complex dynamic and kinematic relations. In this work, a model-free, a joint space computed torque, and a hybrid joint-task-space computed torque control strategies are experimentally compared for a kinematically redundant parallel manipulator. The latter is a novel strategy that requires the measurement of the end-effector's pose, which is performed by an eye-to-hand limited frame rate camera. The impact of up to three kinematic redundancy levels is also experimentally evaluated using prepositioning and ongoing positioning redundancy resolution schemes. The data are assessed by evaluating a prescribed trajectory executed using a planar kinematically redundant parallel manipulator. These results indicate that kinematic redundancy can not only be used as an alternative design for reducing the presence of singular regions, as claimed in the literature, but also be used along with model-based control strategies for improving dynamic performance and accuracy of parallel manipulators. (AU)

FAPESP's process: 18/22760-0 - Control of parallel planar manipulators with flexible links
Grantee:Fernanda Thaís Colombo
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 18/21336-0 - Towards high speed parallel kinematic machines, Phase II: instrumentation, modeling and control of a flexible manipulator
Grantee:Maira Martins da Silva
Support Opportunities: Regular Research Grants