Explicit formulation of multibody dynamics based on principle of dynamical balance and its parallelization
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Efficient computation of dynamics parameters is one of the important issues in simulation and control of the multibody systems as these systems become more complex. Recent advances in computer architecture are toward multiple core systems rather than high-speed single core systems. Therefore, parallel computation algorithms for dynamics parameters should be designed to improve the performance on these multicore architectures. In this paper, a new dynamics computation algorithm is derived using the principle of dynamical balance, which provides explicit computation of dynamic parameters. This new algorithm has the structure to which parallel computation can be easily applicable. Parallel computation methods are then applied so that we can exploit the structure of the proposed dynamics computation algorithm based on the principle of dynamical balance. The parallel algorithm is designed based on task and data-parallelism. The performance of the proposed algorithm is verified on robots with various topologies. The improved speed of parallel computation is demonstrated through these experiments.
KeywordsMultibody system dynamics Principle of dynamical balance Parallel computing
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2015R1A2A1A10055798) and the Technology Innovation Program (10060081) funded by the Ministry of Trade, industry & Energy (MI, Korea).
- 5.Featherstone, R.: Robot Dynamics Algorithms. Kluwer Academic, Boston/Dordrecht/Lancaster (1987) Google Scholar
- 10.Bondhugula, U., Baskaran, M.M., Hartono, A., Krishnamoorthy, S., Ramanujam, J., Rountev, A., Sadayappan, P.: Towards effective automatic parallelization for multicore systems. In: IPDPS. IEEE, pp. 1–5 (2008) Google Scholar
- 11.Agathos, S.N., Hadjidoukas, P.E., Dimakopoulos, V.V.: Design and implementation of openmp tasks in the ompi compiler. In: Angelidis, P., Michalas, A. (eds.) Panhellenic Conference on Informatics, pp. 265–269. IEEE Press, New York (2011) Google Scholar
- 13.Chhugani, J., Nguyen, A.D., Lee, V.W., Macy, W., Hagog, M., Chen, Y.-K., Baransi, A., Kumar, S., Dubey, P.: Efficient implementation of sorting on multi-core SIMD CPU architecture. In: Proceedings of the VLDB Endowment, vol. 1, pp. 1313–1324 (2008) Google Scholar
- 16.You, B., Choi, Y., Jeong, M., Kim, D., Oh, Y., Kim, C., Cho, J., Park, M., Oh, S.: Network-based humanoids ‘Marhu’ and ‘Ahra’. In: Proc. Int. Conf. on Ubi. Robots and Ambient Intelli, pp. 376–379 (2005) Google Scholar