DocumentCode
3551187
Title
Real-time implementation of model predictive control
Author
Bleris, L.G. ; Kothare, M.V.
Author_Institution
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA, USA
fYear
2005
fDate
8-10 June 2005
Firstpage
4166
Abstract
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.
Keywords
control system analysis computing; micromechanical devices; multivariable systems; predictive control; real-time systems; control algorithm; electronic subsystem; inequality constraints; manufacturing process; micromechanical devices; model predictive control; moving horizon control; multivariable system; packaging process; receding horizon control; system inputs; system outputs; system states; systems-on-chip application; Application software; Control systems; Hardware; MIMO; Manufacturing processes; Micromechanical devices; Predictive control; Predictive models; Sampling methods; Size control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2005. Proceedings of the 2005
Conference_Location
Portland, OR, USA
ISSN
0743-1619
Print_ISBN
0-7803-9098-9
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2005.1470631
Filename
1470631
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