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
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;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Conference_Location :
Portland, OR, USA
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1470631