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Design, modelling, implementation, and trajectory planning of a 3-DOF cable driven parallel robot.

Authors :
Badrikouhi, Milad
Bamdad, Mahdi
Source :
Applied Mathematical Modelling. Jan2024:Part B, Vol. 125, p210-229. 20p.
Publication Year :
2024

Abstract

• The model of a cable driven parallel robot with multi-type actuators is derived and then verified by ADAMS software. • New trajectory planning algorithms for cable driven robot are developed by direct method schemes. • Direct shooting and collocation are adapted to the cable parallel robot dynamic in path planning. • The focus in trajectory planning is on cable constraints to satisfy control and smoothness. • An experimental platform is constructed to support direct shooting results. Cable tensions in cable robots make trajectory planning more complicated than in rigid-link robots. Since cables can only pull but not push, the cable tensions must be kept positive for a cable-driven system to maintain control. In this paper direct methods of trajectory planning including direct collocation and direct shooting are proposed to solve the two-point boundary value problem trajectory planning. Minimizing a robot's actuator force under cable constraints including positive forces and preventing severe changes in tensions are considered in this problem. The cable-driven robot consists of a 3-cable and a pneumatic cylinder, which betters robot tensionability. The direct methods are solved by the sequential quadratic programming algorithm and then compared with the GPOPS-II software package. The results designate that the direct methods of trajectory planning propose substantial benefits in satisfying essential continuity and smoothness of resulted profiles for a cable-driven robot with a multi-type actuation system. Experimental results confirm the numerical data, additional supporting the findings. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0307904X
Volume :
125
Database :
Academic Search Index
Journal :
Applied Mathematical Modelling
Publication Type :
Academic Journal
Accession number :
173563540
Full Text :
https://doi.org/10.1016/j.apm.2023.09.018