Karim Moussa , Maxime Thieffry , Fabien Claveau , Philippe Chevrel , Stéphane Caro
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引用次数: 0
Abstract
Cable-Driven Parallel Robots (CDPRs) are a type of parallel robots that uses cables instead of rigid links, making accurate modeling complex due to intricate cable dynamics. For simulation and control applications, it is appropriate to employ simplifying hypotheses to account for cable deformations. However, when high precision is necessary, models capturing the cable deformation become compulsory, making it challenging to balance model fidelity with computation time. This paper addresses this challenge, by proposing and comparing dynamic models of CDPRs that are both accurate and suitable for controller design. Leveraging recent advances in Finite Element Method (FEM) modeling for robotics, this paper extends recent findings and adapts them to the specific case of CDPRs. Additionally, a second model based on the assumed mode approach is extended to 3D context. The accuracy of both models is then compared with that of a lumped parameter model provided by the commercial software MapleSim, focusing on pick-and-place tasks to highlight the strengths and limitations of each approach for establishing a common benchmark. Following initial experimental validation of the models’ precision in a single-cable setup, the FEM model was selected as a comparison reference. Finally, simulation results for an eight-cable 3D suspended robot are presented.
期刊介绍:
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.
The main topics are:
Design Theory and Methodology;
Haptics and Human-Machine-Interfaces;
Robotics, Mechatronics and Micro-Machines;
Mechanisms, Mechanical Transmissions and Machines;
Kinematics, Dynamics, and Control of Mechanical Systems;
Applications to Bioengineering and Molecular Chemistry