2021
DOI: 10.1109/tro.2020.3020747
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Optimal Force Allocation for Overconstrained Cable-Driven Parallel Robots: Continuously Differentiable Solutions With Assessment of Computational Efficiency

Abstract: We present a novel method for force allocation for overconstrained CDPR setups that guarantees continuously differentiable cable forces and allows for small penalised errors in the resulting wrench. For the latter, we also provide a bound on the error under some assumptions. We study real-time feasibility by performing numerical simulations on a large set of configurations.

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Cited by 25 publications
(10 citation statements)
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“…We next express the force allocation problem as an optimisation problem, similar to [36]. When considering the experimental setup, we refer to two reference frames, {a} and {b}; O a is the local Earth-fixed coordinate frame's stationary origin {a}, and O b is the platform's body-fixed frame's moving origin {b}.…”
Section: Problem Formulation 21 Force Allocationmentioning
confidence: 99%
See 4 more Smart Citations
“…We next express the force allocation problem as an optimisation problem, similar to [36]. When considering the experimental setup, we refer to two reference frames, {a} and {b}; O a is the local Earth-fixed coordinate frame's stationary origin {a}, and O b is the platform's body-fixed frame's moving origin {b}.…”
Section: Problem Formulation 21 Force Allocationmentioning
confidence: 99%
“…is the preferred load vector dependent on application specific factors such as actuator technology, cable properties, safety concerns, and operating conditions. The cost function has beneficial properties, as shown in [36]. Figure 6 shows the resulting ReaTHM testing loop coupling the two substructures.…”
Section: Problem Formulation 21 Force Allocationmentioning
confidence: 99%
See 3 more Smart Citations