Research on Full Closed-Loop Control of Suspended Four-Cable-Driven Parallel Mechanism With Multisource Sensor FusionSource: Journal of Mechanisms and Robotics:;2026:;volume( 018 ):;issue:005::page 1082Author:Wen, Yuan-hang
,
Liang, Jia-le
,
Song, Chun-tian
,
Fang, Jie-fan
,
Liang, Jie-jun
,
Liang, De-yu
,
Mo, Jia-si
DOI: 10.1115/1.4071414Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. This study addresses the challenge of controlling an under-constrained, suspended four-cable-driven parallel mechanism (CDPM). The inherent geometrico-static problem introduces complex inverse kinematics and forces a trade-off between computational efficiency and control precision. To improve trajectory tracking accuracy, a novel fully closed-loop, real-time control strategy is proposed. First, for the configuration in which cables are attached to the four vertices of a rigid square moving platform, numerical iterative simulations were carried out in matlab r2021a. These simulations solved the inverse kinematics and revealed a functional relationship coupling the moving platform's translational and rotational motions. Next, a motion controller for the CDPM was designed and optimized. To avoid the high computational cost of numerical iterative methods—which is prohibitive for real-time closed-loop control—and to prevent pseudo-drag in the cables, the derived coupling function was innovatively applied as an empirical model. By integrating a 6-degree-of-freedom motion tracking system and tension sensors, a double closed-loop proportional–integral–differential (PID) control was successfully implemented. Experimental results show that the proposed control strategy achieves significantly higher stability, accuracy, and real-time performance compared with open-loop control. The average end-effector trajectory tracking error decreased from 2.2312 mm to 0.3465 mm, representing an 84.5% improvement in positioning accuracy. Moreover, the Fréchet distance, a measure of trajectory similarity, improved from 3.0952 to 0.9287, indicating a 70.0% performance enhancement. This research demonstrates that empirical model-based double closed-loop PID control offers an effective solution for the real-time control of complex CDPMs. It provides critical technical support for deploying CDPMs in high-precision industrial applications.
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| contributor author | Wen, Yuan-hang | |
| contributor author | Liang, Jia-le | |
| contributor author | Song, Chun-tian | |
| contributor author | Fang, Jie-fan | |
| contributor author | Liang, Jie-jun | |
| contributor author | Liang, De-yu | |
| contributor author | Mo, Jia-si | |
| date accessioned | 2026-08-23T07:36:04Z | |
| date available | 2026-08-23T07:36:04Z | |
| date copyright | 2026/05/01 | |
| date issued | 2026 | |
| identifier issn | 1942-4302 | |
| identifier other | jmr-25-1503.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4315330 | |
| description abstract | Abstract. This study addresses the challenge of controlling an under-constrained, suspended four-cable-driven parallel mechanism (CDPM). The inherent geometrico-static problem introduces complex inverse kinematics and forces a trade-off between computational efficiency and control precision. To improve trajectory tracking accuracy, a novel fully closed-loop, real-time control strategy is proposed. First, for the configuration in which cables are attached to the four vertices of a rigid square moving platform, numerical iterative simulations were carried out in matlab r2021a. These simulations solved the inverse kinematics and revealed a functional relationship coupling the moving platform's translational and rotational motions. Next, a motion controller for the CDPM was designed and optimized. To avoid the high computational cost of numerical iterative methods—which is prohibitive for real-time closed-loop control—and to prevent pseudo-drag in the cables, the derived coupling function was innovatively applied as an empirical model. By integrating a 6-degree-of-freedom motion tracking system and tension sensors, a double closed-loop proportional–integral–differential (PID) control was successfully implemented. Experimental results show that the proposed control strategy achieves significantly higher stability, accuracy, and real-time performance compared with open-loop control. The average end-effector trajectory tracking error decreased from 2.2312 mm to 0.3465 mm, representing an 84.5% improvement in positioning accuracy. Moreover, the Fréchet distance, a measure of trajectory similarity, improved from 3.0952 to 0.9287, indicating a 70.0% performance enhancement. This research demonstrates that empirical model-based double closed-loop PID control offers an effective solution for the real-time control of complex CDPMs. It provides critical technical support for deploying CDPMs in high-precision industrial applications. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Research on Full Closed-Loop Control of Suspended Four-Cable-Driven Parallel Mechanism With Multisource Sensor Fusion | |
| type | Journal Paper | |
| journal volume | 18 | |
| journal issue | 5 | |
| journal title | Journal of Mechanisms and Robotics | |
| identifier doi | 10.1115/1.4071414 | |
| journal fristpage | 1082 | |
| journal lastpage | 1089 | |
| page | 8 | |
| tree | Journal of Mechanisms and Robotics:;2026:;volume( 018 ):;issue:005 | |
| contenttype | Fulltext |