Use this link to cite:
http://hdl.handle.net/2183/40336 Hardware Acceleration of Multibody Simulations for Real-Time Embedded Applications
Loading...
Identifiers
Publication date
Authors
Advisors
Other responsabilities
Journal Title
Bibliographic citation
Rodríguez, A.J., Pastorino, R., Carro-Lagoa, Á. et al. Hardware acceleration of multibody simulations for real-time embedded applications. Multibody Syst Dyn 51, 455–473 (2021). https://doi.org/10.1007/s11044-020-09738-w
Type of academic work
Academic degree
Abstract
[Abstract] New products in the automotive and aerospace industries must provide increased energy efficiency and exceed previous performance, safety and reliability. To meet these expectations, the role of simulation continues to grow.
Within this context, simulation models are used in real-time embedded applications such as advanced real-time control and virtual sensing. Both applications require the execution of simulation models in real-time on embedded hardware. The limited computational power of this hardware is, however, a major challenge in the adoption of model-based embedded applications.
This research explores the use of multibody models for real-time embedded applications. It describes different techniques to accelerate parts or all of the multibody computations on ARM-based and/or FPGA-based hardware.
Description
This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-science/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect postacceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11044-020-09738-w