Geometric Configuration Optimization of 8-Cable 6-DOF Cable-Driven Parallel Mechanism

Abstract This paper presents a Multi-Index Collaborative Screening-based Optimization Method (MICSOM) for the geometric configuration optimization of 8-cable 6-DOF cable-driven parallel mechanisms (CDPMs). The method consists of two stages: the optimization of cable connection method and the compactness optimization of frame geometric dimensions. In the stage I, a global enumeration approach is used to identify the candidate cable connection method that satisfy static interference-avoidance and point set quantity constraints. A multi-objective evaluation coordinated function is constructed based on evaluation indices, including safe cable distance, cable tension quality, stiffness, wrench-feasible workspace, directional wrench output capability, and directional wrench output range, to select the optimal cable connection method. In the stage II, an improved PSO algorithm is applied to maximize the workspace occupancy ratio. A penalty function and dynamic inertia weight strategy are incorporated to optimize the spatial distribution of frame anchor points and reduce the overall structural volume. Numerical experiments demonstrate that MICSOM effectively improves the kinematic performance, load-bearing capacity, and compactness of CDPMs, offering a valuable framework for the design of 8-cable 6-DOF CDPMs in complex task environments.

Authors

Institutions

Publication Details

Journal
Journal of Mechanisms and Robotics
Published
2026-05-21
DOI
https://doi.org/10.1115/1.4071983
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geometric Configuration Optimization of 8-Cable 6-DOF Cable-Driven Parallel Mechanism

Jingfeng He, Yizi Zhou, Zhizhong Tong, Hangchen Xie et al.
Journal of Mechanisms and Robotics
Robotic Mechanisms and Dynamics
article

Geometric Configuration Optimization of 8-Cable 6-DOF Cable-Driven Parallel Mechanism

Jingfeng He, Yizi Zhou, Zhizhong Tong, Hangchen Xie, Yihang Wang, Xin Li
article en

Abstract

Abstract This paper presents a Multi-Index Collaborative Screening-based Optimization Method (MICSOM) for the geometric configuration optimization of 8-cable 6-DOF cable-driven parallel mechanisms (CDPMs). The method consists of two stages: the optimization of cable connection method and the compactness optimization of frame geometric dimensions. In the stage I, a global enumeration approach is used to identify the candidate cable connection method that satisfy static interference-avoidance and point set quantity constraints. A multi-objective evaluation coordinated function is constructed based on evaluation indices, including safe cable distance, cable tension quality, stiffness, wrench-feasible workspace, directional wrench output capability, and directional wrench output range, to select the optimal cable connection method. In the stage II, an improved PSO algorithm is applied to maximize the workspace occupancy ratio. A penalty function and dynamic inertia weight strategy are incorporated to optimize the spatial distribution of frame anchor points and reduce the overall structural volume. Numerical experiments demonstrate that MICSOM effectively improves the kinematic performance, load-bearing capacity, and compactness of CDPMs, offering a valuable framework for the design of 8-cable 6-DOF CDPMs in complex task environments.

Journal of Mechanisms and Robotics
Harbin Institute of Technology (CN), Education Department of Heilongjiang Province (CN), Heilongjiang University (CN), CAE (Canada) (CA)
Openalex Percentile: Top 7%
Robotic Mechanisms and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.