Nonlinear model predictive control for chemical looping process
Abstract
A control system for optimizing a chemical looping ("CL") plant includes a reduced order mathematical model ("ROM") that is designed by eliminating mathematical terms that have minimal effect on the outcome. A non-linear optimizer provides various inputs to the ROM and monitors the outputs to determine the optimum inputs that are then provided to the CL plant. An estimator estimates the values of various internal state variables of the CL plant. The system has one structure adapted to control a CL plant that only provides pressure measurements in the CL loops A and B, a second structure adapted to a CL plant that provides pressure measurements and solid levels in both loops A, and B, and a third structure adapted to control a CL plant that provides full information on internal state variables. A final structure provides a neural network NMPC controller to control operation of loops A and B.
- Inventors:
- Issue Date:
- Research Org.:
- GENERAL ELECTRIC TECHNOLOGY GMBH, Baden, CH (Switzerland)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1375942
- Patent Number(s):
- 9740214
- Application Number:
- 13/946,115
- Assignee:
- GENERAL ELECTRIC TECHNOLOGY GMBH
- Patent Classifications (CPCs):
-
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G - PHYSICS G05 - CONTROLLING G05D - SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- DOE Contract Number:
- FC26-07NT43095
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2013 Jul 19
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Joshi, Abhinaya, Lei, Hao, and Lou, Xinsheng. Nonlinear model predictive control for chemical looping process. United States: N. p., 2017.
Web.
Joshi, Abhinaya, Lei, Hao, & Lou, Xinsheng. Nonlinear model predictive control for chemical looping process. United States.
Joshi, Abhinaya, Lei, Hao, and Lou, Xinsheng. Tue .
"Nonlinear model predictive control for chemical looping process". United States. https://www.osti.gov/servlets/purl/1375942.
@article{osti_1375942,
title = {Nonlinear model predictive control for chemical looping process},
author = {Joshi, Abhinaya and Lei, Hao and Lou, Xinsheng},
abstractNote = {A control system for optimizing a chemical looping ("CL") plant includes a reduced order mathematical model ("ROM") that is designed by eliminating mathematical terms that have minimal effect on the outcome. A non-linear optimizer provides various inputs to the ROM and monitors the outputs to determine the optimum inputs that are then provided to the CL plant. An estimator estimates the values of various internal state variables of the CL plant. The system has one structure adapted to control a CL plant that only provides pressure measurements in the CL loops A and B, a second structure adapted to a CL plant that provides pressure measurements and solid levels in both loops A, and B, and a third structure adapted to control a CL plant that provides full information on internal state variables. A final structure provides a neural network NMPC controller to control operation of loops A and B.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {8}
}
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