Abstract
The objective of this study is the examination of the design and control opportunities presented by large arrays of small, simple actuators acting in parallel. An array of two-state actuators, i.e. a bundle of binary actuators acting in parallel, can be regarded as a simplified model of biological muscle. An experimental parallel array system composed of a large number of pneumatic cylinders connected between an output member and base has been constructed. Each cylinder can be either set as on or off. The parallel array is viewed as a progranunable force generator, rather than as a motion generator. In this paper, we will discuss the wrench workspace generated by the prototype parallel array and also present an efficient method for controlling the wrench generation.
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References
McMahon, T. A. (1984). Muscles, Reflexes, and Locomotion. Princeton, NJ: Princeton University Press.
Enoka, R.M. (1988). Neuromechanical Basis of Kinesiology.
Champaign, IL: Human Kinetics Books. Shahinpoor, M. (1995). Design, Modeling and Fabrication of Micro-Robotic Actuators with Ionic Polymeric Gel and SMA Micro-Muscles. In Proc. 1995 ASME Design Engineering Technical Conference. Boston, MA.
Shahinpoor, M., and Mojarrad, M. (1997). Biomimetic Robotic Propulsion Using Ion-Exchange Membrane Metal Composite Artificial Muscles. In Proceedings of 1997 IEEE Robotic and Automation Conference. Albuquerque, NM.
Hunt, K. H. (1978). Kinematic Geometry of Mechanisms. Oxford: Clarendon Press.
Waldron, K. J., Hunt, K. H. (1991). Series-Parallel Dualities in Actively Coordinated Mechanisms. International Journal of Robotics Research, Vol. 10, No. 5, pp. 473–480.
Ebert-Uphoff, I. and Chirikjian, G. (1995). Efficient Workspace Generation for Binary Manipulators with Many Actuators. Journal of Robotic Systems, Vol. 12, No. 6, pp. 383–400.
Chirikjian, G., and Ebert-Uphoff, I. (1998). Numerical Convolution on the Euclidean gruop with applications to workspace generation. IEEE Trans. on Robotics and Automation, 14 (1): 123–136.
Hopfield J. J., and Tank, D. W. (1985). Neural Computation of Decision in Optimization Problems. Biological Cybernetics, Vol. 52, pp. 141–154.
Tank, D. W., and Hopfield J. J. (1986). Simple ‘Neural’ Optimization Networks: an A/D Converter, Signal Decision Circuit and a Linear Programing Circuit. IEEE Transactions on Circuits and Systems, Vol. 33, No. 5, pp. 533–541.
Yang, P., Waldron, K. J. (1999). Design of a Parallel Mechanism with a Massive Number of Binary Actuators for Wrench Generation. In Soni, A. H., ed., Proceedings of the Sixth Applied Mechanisms and Robotics Conference, Cincinnati, OH. pp. AMR 99–080: 01–08.
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© 2000 Springer-Verlag Wien
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Yang, PH., Waldron, K.J. (2000). Coordination of Parallel Arrays of Binary Actuators. In: Morecki, A., Bianchi, G., Rzymkowski, C. (eds) Romansy 13. International Centre for Mechanical Sciences, vol 422. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2498-7_3
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DOI: https://doi.org/10.1007/978-3-7091-2498-7_3
Publisher Name: Springer, Vienna
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