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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Bibliographic Details
Published in:2005 American Control Conference pp. 4166 - 4171 vol. 6
Main Authors: Bleris, L.G., Kothare, M.V.
Format: Conference Proceeding
Language:English
Published: IEEE 2005
Subjects:
Application software
Control systems
Hardware
Manufacturing processes
Micromechanical devices
MIMO
Predictive control
Predictive models
Sampling methods
Size control
ISBN:0780390989, 9780780390980, 9780780390997, 0780390997
ISSN:0743-1619
Online Access:Get full text
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Summary: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.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
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ISBN:0780390989
9780780390980
9780780390997
0780390997
ISSN:0743-1619
DOI:10.1109/ACC.2005.1470631