Real-time implementation of model predictive control
A real-time implementation of model predictive control (MPC) is presented in this paper. MPC, also known as receding horizon control and moving horizon control, is widely accepted as the controller of choice for multivariable systems that have inequality constraints on system states, inputs and outp...
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| Vydáno v: | 2005 American Control Conference s. 4166 - 4171 vol. 6 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
2005
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| Témata: | |
| ISBN: | 0780390989, 9780780390980, 9780780390997, 0780390997 |
| ISSN: | 0743-1619 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | A real-time implementation of model predictive control (MPC) is presented in this paper. MPC, also known as receding horizon control and moving horizon control, is widely accepted as the controller of choice for multivariable systems that have inequality constraints on system states, inputs and outputs. For processes with slow dynamics and low sampling rates, MPC is typically implemented on a dedicated computer. For systems with fast dynamics such as those in MEMS, a hardware embedded MPC would be an appropriate controller implementation since the size and the application precludes the use of a dedicated computer. Recent manufacturing advances have opened the path for the fabrication of micromechanical devices and electronic subsystems under the same manufacturing and packaging process, thereby opening the path for the use of advanced control algorithms towards systems-on-chip applications. |
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| Bibliografie: | SourceType-Conference Papers & Proceedings-1 ObjectType-Conference Paper-1 content type line 25 |
| ISBN: | 0780390989 9780780390980 9780780390997 0780390997 |
| ISSN: | 0743-1619 |
| DOI: | 10.1109/ACC.2005.1470631 |