Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics
This article presents a framework for optimizing cable-driven parallel manipulators (CPMs) in deep-sea environments, addressing factors as failure tolerance, stiffness, and workspace within a unified framework. While previous studies have examined these factors individually, few have integrated them...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10982223/ |
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| author | Asim Ghaffar Muhammad Zia Ur Rahman Victor Leiva Cecilia Castro Carlos Martin-Barreiro |
| author_facet | Asim Ghaffar Muhammad Zia Ur Rahman Victor Leiva Cecilia Castro Carlos Martin-Barreiro |
| author_sort | Asim Ghaffar |
| collection | DOAJ |
| description | This article presents a framework for optimizing cable-driven parallel manipulators (CPMs) in deep-sea environments, addressing factors as failure tolerance, stiffness, and workspace within a unified framework. While previous studies have examined these factors individually, few have integrated them into a unified framework. The presented framework evaluates CPMs with six, eight, and ten cables, using inverse kinematics, optimization, and stiffness analysis. The six-cable framework is fully constrained, whereas the eight-cable and ten-cable systems are over-constrained, providing additional redundancy in failure scenarios. Post-failure tensions are maintained within safe bounds, defined by mechanical load ratings and operational safety margins. Results indicate that increasing the number of cables improves workspace coverage, enhances stiffness, and reduces post-failure tensions. The ten-cable configuration, in particular, increases operational volume by approximately 20% and reduces peak post-failure tensions by around 15% compared to the six-cable baseline. Our framework also considers adaptive positioning strategies to improve system performance under varying ocean conditions. Future work will analyze the effects of wave-induced motions on system stability and develop sensor-based failure-detection techniques to enhance real-time failure mitigation and system robustness in dynamic environments. |
| format | Article |
| id | doaj-art-b5166ce80dcb4ef882470c429cab5091 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-b5166ce80dcb4ef882470c429cab50912025-08-20T02:28:18ZengIEEEIEEE Access2169-35362025-01-0113792807929010.1109/ACCESS.2025.356104110982223Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea RoboticsAsim Ghaffar0https://orcid.org/0000-0001-9184-1865Muhammad Zia Ur Rahman1https://orcid.org/0000-0003-2304-8392Victor Leiva2https://orcid.org/0000-0003-4755-3270Cecilia Castro3https://orcid.org/0000-0001-9897-8186Carlos Martin-Barreiro4https://orcid.org/0000-0002-8797-681XDepartment of Mechanical, Mechatronics, and Manufacturing Engineering, University of Engineering and Technology, Lahore, Faisalabad Campus, Faisalabad, PakistanDepartment of Electrical, Electronics, and Telecommunication Engineering, University of Engineering and Technology, Lahore, Faisalabad Campus, Faisalabad, PakistanSchool of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, ChileCentre of Mathematics, Universidade do Minho, Braga, PortugalFacultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil, EcuadorThis article presents a framework for optimizing cable-driven parallel manipulators (CPMs) in deep-sea environments, addressing factors as failure tolerance, stiffness, and workspace within a unified framework. While previous studies have examined these factors individually, few have integrated them into a unified framework. The presented framework evaluates CPMs with six, eight, and ten cables, using inverse kinematics, optimization, and stiffness analysis. The six-cable framework is fully constrained, whereas the eight-cable and ten-cable systems are over-constrained, providing additional redundancy in failure scenarios. Post-failure tensions are maintained within safe bounds, defined by mechanical load ratings and operational safety margins. Results indicate that increasing the number of cables improves workspace coverage, enhances stiffness, and reduces post-failure tensions. The ten-cable configuration, in particular, increases operational volume by approximately 20% and reduces peak post-failure tensions by around 15% compared to the six-cable baseline. Our framework also considers adaptive positioning strategies to improve system performance under varying ocean conditions. Future work will analyze the effects of wave-induced motions on system stability and develop sensor-based failure-detection techniques to enhance real-time failure mitigation and system robustness in dynamic environments.https://ieeexplore.ieee.org/document/10982223/Adaptive positioning systemsalgorithmsmulti-objective optimizationrobotssimulation modelsstability analysis |
| spellingShingle | Asim Ghaffar Muhammad Zia Ur Rahman Victor Leiva Cecilia Castro Carlos Martin-Barreiro Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics IEEE Access Adaptive positioning systems algorithms multi-objective optimization robots simulation models stability analysis |
| title | Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics |
| title_full | Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics |
| title_fullStr | Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics |
| title_full_unstemmed | Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics |
| title_short | Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics |
| title_sort | multi factor optimization and failure tolerant design of cable driven parallel manipulators in deep sea robotics |
| topic | Adaptive positioning systems algorithms multi-objective optimization robots simulation models stability analysis |
| url | https://ieeexplore.ieee.org/document/10982223/ |
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