Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task

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Authors: Thomas Reichenbach, Johannes Clar, Andreas Pott, Alexander W. Verl
Cited by: 1
References: 17

Abstract

Abstract This paper presents a method for dynamic adjustment of cable preloads based on the actuation redundancy of cable-driven parallel robot (CDPRs), which allows increasing or decreasing the platform stiffness depending on task requirements. This is achieved by computing preload parameters with an extended nullspace formulation of the kinematics. The method facilitates the operator’s ability to specify a defined preload within the operation space. The algorithms are implemented in a real-time environment, allowing for the use of optimization in hybrid position-force control. To validate the effectiveness of this approach, a simulation study is performed, and the obtained results are compared to existing methods. Furthermore, the method is investigated experimentally and compared with the conventional position-controlled operation of a cable robot. The results demonstrate the feasibility of adaptively adjusting cable preloads during platform motion and manipulation of additional objects.

Fields of Study & Subjects

Teleoperation and Haptic Systems Iterative Learning Control Systems Robotic Mechanisms and Dynamics

Publication details

Journal / source
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2024
Publisher
Springer Nature Switzerland
Pages
269–280
Publication date
1 January 2026
Language
EN