Cable-Driven Parallel Robots: Proceedings of the Second by Andreas Pott, Tobias Bruckmann PDF

By Andreas Pott, Tobias Bruckmann

ISBN-10: 3319094882

ISBN-13: 9783319094885

ISBN-10: 3319094890

ISBN-13: 9783319094892

This quantity provides the result of the second one discussion board to cable-driven parallel robots, bringing the cable robotic group jointly. It exhibits the hot principles of the lively researchers constructing cable-driven robots. The booklet provides the cutting-edge, together with either summarizing contributions in addition to most recent study and destiny strategies. The ebook conceal all subject matters that are crucial for cable-driven robots:
Classification
Kinematics, Workspace and Singularity Analysis
Statics and Dynamics Cable Modeling
Control and Calibration
Design Methodology
Hardware Development
Experimental Evaluation
Prototypes, program reviews and new program concepts.

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Additional resources for Cable-Driven Parallel Robots: Proceedings of the Second International Conference on Cable-Driven Parallel Robots

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4 N to the previously created model. This may be caused by temperature changes, cable settlement and high tension states resulting in lasting changes in the cable’s elastic behavior. Using the model for a sinusoidal excitation, a randomly shaped signal can be approximated by a Fourier decomposition. A trapezoidal and a triangular signal where used as test signals to verify the model for different shaped inputs. The Fourier decomposition of the triangular function for example is given by f (t) = 1 1 8A (sin(ωt) − 2 sin(3ωt) + 2 (sin(5ωt)) − · · · ).

This function first computes the interval evaluation of the matrix M in (2) with the elements of the input box Bi . Then, it executes the interval version of the Gauss elimination scheme provided by the C++ library ALIAS [9] to solve the interval linear system, which leads to three possible outputs: 46 A. Berti et al. • if the Gauss elimination succeeds and the lower bounds of the components of resulting interval vector are strictly positive, it returns 1. • if the Gauss elimination succeeds and at least one upper bound of the elements of the resulting interval vector is negative, it returns −1.

Jaulin L (2001) Applied interval analysis: with examples in parameter and state estimation, robust control and robotics. Springer, London 8. Lamaury J, Gouttefarde M (2013) Control of a large redundantly actuated cable-suspended parallel robot. In: Proceedings of the 2013 IEEE international conference on robotics and automation, pp 4659–4664. Karlsruhe, Germany 9. Merlet JP (2000) Alias: an algorithms library for interval analysis for equation systems. COPRIN Project, INRIA. fr/coprin/logiciels/ALIAS 10.

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Cable-Driven Parallel Robots: Proceedings of the Second International Conference on Cable-Driven Parallel Robots by Andreas Pott, Tobias Bruckmann


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