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Title: 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 = {Tue Aug 22 00:00:00 EDT 2017},
month = {Tue Aug 22 00:00:00 EDT 2017}
}

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