Journal article
Application of graphic processing unit in model predictive control
Computer Aided Chemical Engineering, Vol.29, pp.492-496
2011
Abstract
This study seeks to pave the way for the implementation of a model predictive controller method using a Graphic Processing Unit (GPU). The GPU has been adapted and used as a real time co processor for Nonlinear Model Predictive Control (NMPC) algorithms, providing a means to improve the computational performance of the MPC algorithm in an economic manner. In this approach, a parallel version of Nelder-Mead simplex algorithm was used to solve MPC optimization problem. In order to show the effectiveness of the proposed approach, the implementation was applied in model predictive control of a crystallizer unit operation. The results show a considerable improvement in computational performance compared to standard CPU based implementation.
Details
- Title
- Application of graphic processing unit in model predictive control
- Authors/Creators
- A. Sadrieh (Author/Creator) - Murdoch UniversityP.A. Bahri (Author/Creator) - Murdoch University
- Publication Details
- Computer Aided Chemical Engineering, Vol.29, pp.492-496
- Publisher
- Elsevier BV
- Identifiers
- 991005542927807891
- Copyright
- © 2011 Elsevier B.V.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
- Note
- 21st European Symposium on Computer Aided Process Engineering
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