Multivariable model predictive controller
AssigneeLehigh University
InventorsMatthew Urich, Rama Rao Vemula, Mayuresh V. Kothare
Life of this patent
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Abstract
Systems and methods presented herein provide for multivariable model predictive control of a multistep plant. In one embodiment, a model predictive controller (MPC) includes a model of the multistep plant. The MPC is operable to linearize at least two steps of the multistep plant into cycle steps based on the model, to process an output signal from the multistep plant, and to independently control the cycle steps based on the output signal to optimize an output of the multistep plant.
Claims36
A system, comprising:
- a multistep plant;
- and
- a model predictive controller (MPC) comprising a model of the multistep plant, wherein the MPC is operable to linearize at least two steps of the multistep plant into cycle steps based on the model, to process an output signal from the multistep plant, and to independently control the cycle steps based on the output signal to optimize an output of the multistep plant.
A method operable with a multistep plant, comprising:
- generating a model of the multistep plant;
- and
- via a model predictive controller (MPC):
- linearizing at least two steps of the multistep plant into cycle steps based on the model;
- processing an output signal from the multistep plant;
- and
- independently controlling the cycle steps based on the output signal to optimize an output of the multistep plant.
A non-transitory computer readable medium, comprising instructions that, when executed by a model predictive controller (MPC), direct the MPC to:
- generate a model of a multistep plant;
- and
- linearize at least two steps of the multistep plant into cycle steps based on the model;
- process an output signal from the multistep plant;
- and
- independently control the cycle steps based on the output signal to optimize an output of the multistep plant.
Dependencies are inferred from the claim text.