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Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant

Patent ·
OSTI ID:1093373
System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.
Research Organization:
General Electric Company (Niskayuna, NY)
Sponsoring Organization:
USDOE
DOE Contract Number:
FC26-07NT43094
Assignee:
General Electric Company (Niskayuna, NY)
Patent Number(s):
8,538,561
Application Number:
13/053,690
OSTI ID:
1093373
Country of Publication:
United States
Language:
English

References (4)

Aircraft Turbofan Engine Health Estimation Using Constrained Kalman Filtering journal April 2005
Techno-Economic Feasibility of Highly Efficient Cost-Effective Thermoelectric-SOFC Hybrid Power Generation Systems report September 2007
Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion: Applications to Integrated Navigation conference August 2004
Constrained state estimation using the Unscented Kalman Filter conference June 2008